Week 6 Assignment

Lab Exercize 1

• This is a lab exercise
• We will work through the following dataset in groups
• We begin together with the dataset and pre-processing
• (Optional) Now take a few minutes now and form groups with a maximum of three
• After these data pre-processing steps, take some time and come up with the next step and be prepared to discuss your progress in 30 minutes
• Write out the steps toward suggesting a “first try” predictive model, such as EDA plots etc.
• You will submit your results as an individual on Bb
• The R Summary of an extensive analysis is at the end of this section

US Wages

library("faraway")
data(uswages)
?uswages

names(uswages)

##  [1] "wage"  "educ"  "exper" "race"  "smsa"  "ne"    "mw"    "so"    "we"   
## [10] "pt"

formattable::formattable(uswages)

	wage	educ	exper	race	smsa	ne	mw	so	we	pt
6085	771.60	18	18	0	1	1	0	0	0	0
23701	617.28	15	20	0	1	0	0	0	1	0
16208	957.83	16	9	0	1	0	0	1	0	0
2720	617.28	12	24	0	1	1	0	0	0	0
9723	902.18	14	12	0	1	0	1	0	0	0
22239	299.15	12	33	0	1	0	0	0	1	0
14379	541.31	16	42	0	1	0	0	1	0	1
12878	148.39	16	0	0	1	0	1	0	0	1
23121	273.19	12	36	0	1	0	0	0	1	1
13086	666.67	12	37	0	0	0	1	0	0	0
19913	241.50	9	20	1	1	0	0	1	0	1
20055	703.79	14	29	0	1	0	0	1	0	0
6076	550.81	17	16	0	0	1	0	0	0	0
24050	807.22	14	21	0	1	0	0	0	1	1
11064	712.25	14	11	0	0	0	1	0	0	0
26395	351.46	10	10	0	1	0	0	0	1	0
15576	373.24	12	8	0	0	0	0	1	0	0
18936	759.73	13	19	0	1	0	0	1	0	0
4747	356.13	14	6	0	1	1	0	0	0	0
21572	308.64	16	0	0	1	0	0	1	0	0
14575	469.14	6	24	0	0	0	0	1	0	0
15065	617.28	16	-1	0	1	0	0	1	0	0
23270	123.46	16	1	0	1	0	0	0	1	1
11093	474.83	12	11	0	0	0	1	0	0	0
8830	261.16	12	40	0	1	0	1	0	0	0
9219	284.90	12	5	0	1	0	1	0	0	0
28065	1661.92	12	15	0	1	0	0	0	1	0
1339	629.15	12	44	0	1	1	0	0	0	0
13462	2374.15	12	35	0	1	0	0	1	0	0
10787	522.32	16	8	0	1	0	1	0	0	0
11423	688.51	14	12	0	1	0	1	0	0	0
15657	246.91	9	13	0	1	0	0	1	0	0
2698	949.67	5	55	1	1	1	0	0	0	0
14276	261.16	14	7	1	1	0	0	1	0	0
10854	106.86	10	52	0	1	0	1	0	0	1
7510	296.77	12	11	0	1	0	1	0	0	0
26838	379.87	14	8	0	1	0	0	0	1	0
21118	634.92	9	19	0	1	0	0	1	0	0
10875	1182.03	12	45	0	1	0	1	0	0	0
8891	740.74	12	9	0	1	0	1	0	0	0
15487	237.42	10	12	1	1	0	0	1	0	0
6090	144.03	12	0	0	1	1	0	0	0	0
2293	406.96	14	11	0	0	1	0	0	0	0
8794	351.61	9	10	0	0	0	1	0	0	0
3544	593.54	12	10	0	1	1	0	0	0	0
23320	273.03	14	4	0	1	0	0	0	1	0
23176	997.15	12	44	0	1	0	0	0	1	0
4938	1198.96	12	34	0	1	1	0	0	0	0
12672	569.80	15	15	0	1	0	1	0	0	0
8971	130.58	12	4	0	1	0	1	0	0	0
16287	641.03	13	16	1	1	0	0	1	0	0
15181	712.25	14	25	0	1	0	0	1	0	0
3554	1073.12	16	8	0	1	1	0	0	0	0
26446	712.25	16	13	0	1	0	0	0	1	0
8698	261.16	12	35	0	1	0	1	0	0	0
9899	783.48	16	4	0	1	0	1	0	0	0
18503	197.53	12	8	1	1	0	0	1	0	1
27829	720.16	12	28	1	1	0	0	0	1	0
10616	593.54	14	18	0	1	0	1	0	0	0
24172	1234.57	18	7	0	1	0	0	0	1	0
14806	533.87	12	9	0	0	0	0	1	0	0
4777	712.25	16	6	0	1	1	0	0	0	0
9322	909.31	16	9	0	1	0	1	0	0	0
16555	356.13	12	14	1	1	0	0	1	0	0
26982	759.73	14	11	0	1	0	0	0	1	0
19738	382.74	8	42	0	1	0	0	1	0	0
16707	53.70	9	22	1	1	0	0	1	0	1
6352	403.61	12	12	0	0	1	0	0	0	0
19667	664.77	12	15	0	1	0	0	1	0	0
17679	415.48	13	21	0	1	0	0	1	0	0
17796	949.67	16	21	0	1	0	0	1	0	0
27009	664.77	12	15	0	1	0	0	0	1	0
3901	308.64	10	51	0	0	1	0	0	0	0
27986	997.15	12	11	0	1	0	0	0	1	0
3303	2374.15	18	27	0	1	1	0	0	0	0
15785	259.73	12	1	0	0	0	0	1	0	0
119	641.03	13	27	0	0	1	0	0	0	0
11397	411.52	12	11	0	1	0	1	0	0	0
7461	379.87	12	23	1	1	0	1	0	0	0
6106	231.48	16	11	0	1	1	0	0	0	0
12956	142.45	12	4	0	0	0	1	0	0	0
7371	503.70	11	6	0	0	0	1	0	0	0
8854	94.59	14	4	0	1	0	1	0	0	1
5540	1234.57	18	3	0	1	1	0	0	0	0
21727	379.87	4	34	0	0	0	0	1	0	0
7385	391.74	12	15	0	1	0	1	0	0	0
612	411.70	12	19	0	0	1	0	0	0	0
21394	1068.38	14	31	0	1	0	0	1	0	0
9748	123.46	15	-1	0	1	0	1	0	0	0
10401	569.80	12	37	0	1	0	1	0	0	0
8748	94.97	13	32	0	0	0	1	0	0	1
7702	474.83	8	46	0	1	0	1	0	0	0
18839	379.87	12	12	0	1	0	0	1	0	0
16131	118.71	3	56	0	0	0	0	1	0	1
10609	90.22	12	1	0	0	0	1	0	0	0
3648	402.17	10	8	0	1	1	0	0	0	0
20327	1344.78	16	12	0	1	0	0	1	0	0
26747	474.83	16	27	0	1	0	0	0	1	0
24480	356.13	9	45	0	1	0	0	0	1	0
25209	197.53	12	2	0	1	0	0	0	1	0
4795	949.67	11	19	1	1	1	0	0	0	0
10301	531.81	18	11	0	0	0	1	0	0	1
22061	522.32	12	16	0	0	0	0	1	0	0
12857	356.13	18	32	0	1	0	1	0	0	0
24745	949.67	12	35	0	1	0	0	0	1	0
16118	902.18	18	14	0	1	0	0	1	0	0
27977	1697.72	18	12	0	0	0	0	0	1	0
25363	451.09	14	16	0	0	0	0	0	1	0
6986	830.96	16	37	0	1	0	1	0	0	0
24174	807.22	14	16	0	1	0	0	0	1	0
26144	617.28	6	23	0	1	0	0	0	1	0
9238	271.60	13	1	0	1	0	1	0	0	0
7572	462.99	12	10	0	0	0	1	0	0	0
22024	336.70	13	17	0	1	0	0	1	0	0
20215	593.54	16	4	0	1	0	0	1	0	0
26010	189.93	8	43	0	1	0	0	0	1	0
7945	119.66	14	3	0	0	0	1	0	0	0
18821	641.03	13	15	0	0	0	0	1	0	0
3395	76.43	13	-1	0	1	1	0	0	0	1
4310	493.83	14	0	0	1	1	0	0	0	0
22040	679.01	16	23	0	0	0	0	1	0	0
18395	308.64	10	10	0	1	0	0	1	0	0
26521	130.58	12	11	0	1	0	0	0	1	1
6305	56.79	14	0	0	0	1	0	0	0	1
2330	1899.34	14	30	0	1	1	0	0	0	0
27898	1316.87	12	15	0	0	0	0	0	1	0
2245	830.96	18	0	0	1	1	0	0	0	0
23041	784.69	14	15	0	0	0	0	0	1	0
6736	1139.60	16	5	0	1	0	1	0	0	0
27500	167.55	12	2	0	1	0	0	0	1	0
2224	712.25	12	42	0	1	1	0	0	0	0
6712	845.20	14	13	0	1	0	1	0	0	0
15738	315.82	12	18	0	1	0	0	1	0	0
25092	183.42	10	6	0	1	0	0	0	1	0
5494	337.08	9	43	0	1	1	0	0	0	0
13670	493.83	11	3	0	1	0	0	1	0	0
20453	854.70	18	25	0	0	0	0	1	0	0
14818	885.57	12	20	0	0	0	0	1	0	0
24711	1033.01	18	3	0	0	0	0	0	1	0
4526	403.61	13	5	0	1	1	0	0	0	0
7363	522.32	16	7	0	1	0	1	0	0	0
18966	197.53	12	19	1	1	0	0	1	0	0
10371	308.64	12	4	0	1	0	1	0	0	0
22716	521.94	12	42	0	0	0	0	0	1	0
3094	367.74	16	8	0	1	1	0	0	0	0
6244	236.42	12	13	0	1	1	0	0	0	0
85	569.80	8	36	0	1	1	0	0	0	0
10912	641.03	16	16	0	1	0	1	0	0	0
26199	783.48	16	10	0	1	0	0	0	1	0
1514	189.93	15	-1	0	1	1	0	0	0	0
13332	500.95	17	1	0	1	0	0	1	0	0
13016	593.54	12	12	0	1	0	1	0	0	0
8931	154.32	13	1	0	1	0	1	0	0	1
12447	721.45	8	47	0	1	0	1	0	0	0
6079	522.32	10	24	1	1	1	0	0	0	0
6635	1234.57	14	21	0	1	0	1	0	0	0
25763	123.46	16	9	0	1	0	0	0	1	1
18783	546.06	12	21	0	0	0	0	1	0	0
24442	1305.79	18	19	0	0	0	0	0	1	0
20029	522.32	18	12	0	1	0	0	1	0	0
16431	379.87	12	19	0	0	0	0	1	0	0
977	866.57	18	14	0	1	1	0	0	0	0
4269	689.53	11	38	0	1	1	0	0	0	0
19267	346.63	12	38	0	0	0	0	1	0	0
19620	379.87	13	5	0	0	0	0	1	0	0
15685	370.37	3	49	0	1	0	0	1	0	0
26	546.06	12	16	0	1	1	0	0	0	0
9511	1305.79	12	18	0	1	0	1	0	0	0
6369	498.58	12	17	0	0	1	0	0	0	0
3858	241.21	12	0	0	0	1	0	0	0	0
4020	195.46	12	5	1	1	1	0	0	0	0
17173	160.49	12	21	1	1	0	0	1	0	0
25293	470.09	12	25	0	1	0	0	0	1	0
19611	415.48	12	40	0	0	0	0	1	0	0
749	830.96	12	27	0	0	1	0	0	0	0
23472	668.47	14	21	0	1	0	0	0	1	0
4190	997.15	18	6	0	1	1	0	0	0	0
24273	1111.11	18	28	0	1	0	0	0	1	0
5642	384.62	12	31	0	1	1	0	0	0	0
1845	462.96	12	13	0	1	1	0	0	0	0
25642	189.93	1	49	0	1	0	0	0	1	0
1776	683.76	9	46	0	1	1	0	0	0	0
19914	61.73	12	17	1	1	0	0	1	0	1
11450	664.77	16	9	0	1	0	1	0	0	0
23203	679.01	16	7	0	1	0	0	0	1	0
26631	740.74	13	13	0	1	0	0	0	1	0
5814	617.28	12	25	0	1	1	0	0	0	0
18808	142.45	9	46	0	0	0	0	1	0	0
12836	1264.13	18	36	0	1	0	1	0	0	0
9363	830.96	12	25	0	1	0	1	0	0	0
15041	747.86	16	12	0	1	0	0	1	0	0
21760	284.90	12	9	0	1	0	0	1	0	0
27384	1049.38	12	9	0	1	0	0	0	1	0
19119	213.68	12	2	1	0	0	0	1	0	0
18296	854.70	13	38	0	0	0	0	1	0	0
7176	617.28	11	15	0	1	0	1	0	0	0
5405	284.90	5	54	0	1	1	0	0	0	0
19662	403.61	12	23	0	0	0	0	1	0	0
21531	498.58	12	46	0	0	0	0	1	0	0
22603	346.63	12	3	0	0	0	0	0	1	0
19901	403.61	14	12	1	1	0	0	1	0	0
12690	249.29	12	47	1	1	0	1	0	0	0
7329	664.77	12	34	0	0	0	1	0	0	0
7441	807.22	12	22	0	0	0	1	0	0	0
1860	1412.63	18	14	0	1	1	0	0	0	0
7539	807.22	10	27	0	0	0	1	0	0	0
20745	902.18	14	16	0	1	0	0	1	0	0
9449	98.77	13	-1	0	1	0	1	0	0	1
21575	474.83	10	12	0	0	0	0	1	0	0
2445	1020.89	13	42	0	1	1	0	0	0	0
23322	830.96	12	16	0	1	0	0	0	1	0
14657	830.96	18	29	0	0	0	0	1	0	0
24374	569.80	15	21	0	0	0	0	0	1	0
4022	1135.80	13	33	0	1	1	0	0	0	0
4371	379.87	16	17	0	1	1	0	0	0	0
19006	521.60	12	27	0	1	0	0	1	0	0
26989	345.68	16	8	0	1	0	0	0	1	0
24343	593.54	14	32	0	1	0	0	0	1	0
21663	284.90	8	29	0	1	0	0	1	0	0
6648	712.25	11	42	0	1	0	1	0	0	0
4625	593.54	16	5	0	1	1	0	0	0	0
7080	1103.40	12	40	0	1	0	1	0	0	0
22863	199.12	13	3	0	0	0	0	0	1	0
27419	142.45	12	0	0	1	0	0	0	1	0
3151	641.03	18	4	0	1	1	0	0	0	0
18806	261.16	13	7	0	0	0	0	1	0	0
17443	474.83	16	4	0	1	0	0	1	0	0
17341	641.03	14	20	0	1	0	0	1	0	0
437	607.05	7	41	0	0	1	0	0	0	0
14035	427.35	12	44	1	1	0	0	1	0	0
13930	1305.79	18	11	0	1	0	0	1	0	0
20996	261.16	12	4	0	1	0	0	1	0	0
27982	629.39	12	7	0	1	0	0	0	1	0
26901	546.06	15	39	0	1	0	0	0	1	0
8849	318.14	12	22	0	0	0	1	0	0	0
16676	1258.31	18	6	0	1	0	0	1	0	0
9533	664.77	12	19	0	1	0	1	0	0	0
27663	363.25	18	12	0	0	0	0	0	1	0
16411	322.89	13	10	0	0	0	0	1	0	0
25277	597.27	13	18	0	1	0	0	0	1	0
23436	323.34	16	8	0	1	0	0	0	1	0
12980	402.85	16	8	0	1	0	1	0	0	0
12567	522.32	12	14	0	1	0	1	0	0	0
5373	517.57	11	24	0	1	1	0	0	0	0
8028	664.77	8	43	0	1	0	1	0	0	0
11852	581.67	12	28	0	1	0	1	0	0	0
5797	493.83	16	18	0	1	1	0	0	0	0
26552	296.30	9	8	0	1	0	0	0	1	0
16842	92.59	11	1	1	0	0	0	1	0	1
14414	325.26	12	3	0	1	0	0	1	0	0
12109	320.51	15	1	0	1	0	1	0	0	0
10853	197.41	12	0	0	1	0	1	0	0	1
19360	226.76	10	12	1	0	0	0	1	0	0
1248	1471.98	18	27	0	1	1	0	0	0	0
8662	593.54	14	17	1	1	0	1	0	0	0
4606	849.50	8	18	0	1	1	0	0	0	0
9035	403.61	14	11	0	1	0	1	0	0	0
9600	690.77	12	17	0	1	0	1	0	0	0
4464	296.77	12	27	1	1	1	0	0	0	0
20562	783.48	15	18	0	1	0	0	1	0	0
20295	232.67	12	4	1	1	0	0	1	0	0
7684	415.48	12	11	0	0	0	1	0	0	0
7260	1210.83	12	30	0	0	0	1	0	0	0
2336	874.49	12	21	0	1	1	0	0	0	0
15120	830.96	9	30	0	1	0	0	1	0	0
15092	356.13	12	11	0	1	0	0	1	0	0
24227	546.06	18	11	0	1	0	0	0	1	0
6672	1020.89	12	34	0	1	0	1	0	0	0
12738	522.32	12	16	0	1	0	1	0	0	0
15601	522.32	9	15	0	0	0	0	1	0	0
21033	712.25	12	29	0	1	0	0	1	0	0
11576	283.95	16	0	0	1	0	1	0	0	0
21385	165.43	10	8	0	1	0	0	1	0	0
29	204.18	12	6	0	1	1	0	0	0	0
25909	4264.87	16	16	0	1	0	0	0	1	0
15411	422.36	12	42	1	1	0	0	1	0	0
12917	443.44	12	14	0	0	0	1	0	0	0
14404	997.15	12	31	0	1	0	0	1	0	0
11365	474.83	12	15	0	1	0	1	0	0	0
8296	717.77	16	13	0	1	0	1	0	0	0
28018	925.93	18	16	0	1	0	0	0	1	0
14754	1187.08	18	20	0	0	0	0	1	0	0
3850	474.83	15	33	0	0	1	0	0	0	0
4152	474.83	16	15	0	1	1	0	0	0	0
9332	1258.31	18	16	0	1	0	1	0	0	0
26049	237.42	12	4	0	1	0	0	0	1	0
8005	830.96	18	36	0	0	0	1	0	0	0
20100	466.39	14	34	0	0	0	0	1	0	0
18652	154.32	18	2	0	1	0	0	1	0	1
5279	498.58	12	44	0	1	1	0	0	0	0
5330	308.64	16	12	0	1	1	0	0	0	0
7104	375.31	12	4	0	1	0	1	0	0	0
3180	498.58	11	12	0	1	1	0	0	0	0
9092	123.46	12	4	0	0	0	1	0	0	0
779	432.10	12	6	0	0	1	0	0	0	0
3433	92.59	12	7	0	1	1	0	0	0	1
27388	474.83	12	5	0	1	0	0	0	1	0
14891	546.06	14	7	0	1	0	0	1	0	0
23821	246.91	12	11	0	1	0	0	0	1	0
25518	474.83	11	25	0	1	0	0	0	1	0
11203	427.35	13	12	0	0	0	1	0	0	0
11297	593.54	16	10	0	0	0	1	0	0	0
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10163	444.44	13	14	0	0	0	1	0	0	0
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4195	918.38	9	16	0	1	1	0	0	0	0
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17360	1006.50	18	27	0	1	0	0	1	0	0
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6216	949.67	12	23	0	1	1	0	0	0	0
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24281	356.13	16	5	0	1	0	0	0	1	0
26636	194.68	12	3	0	1	0	0	0	1	1
27901	1077.44	13	23	0	0	0	0	0	1	0
16165	332.38	12	4	0	1	0	0	1	0	0
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24346	760.78	16	20	0	1	0	0	0	1	0
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16899	819.09	11	13	0	1	0	0	1	0	0
15546	284.90	12	7	0	0	0	0	1	0	0
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16188	297.42	12	3	0	1	0	0	1	0	0
26129	118.71	11	6	0	1	0	0	0	1	1
2567	271.60	9	37	0	1	1	0	0	0	0
9537	878.44	16	1	0	1	0	1	0	0	0
21330	462.96	12	4	0	1	0	0	1	0	0
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28027	812.32	12	17	0	0	0	0	0	1	0
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7710	830.96	12	27	0	1	0	1	0	0	0
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26071	617.28	16	45	0	1	0	0	0	1	1
4543	474.83	10	24	0	1	1	0	0	0	0
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4759	1733.14	16	26	0	1	1	0	0	0	0
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23393	498.58	12	13	0	1	0	0	0	1	0
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10115	522.32	11	12	0	0	0	1	0	0	0
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22765	1080.25	16	3	0	0	0	0	0	1	0
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11936	593.54	12	17	0	0	0	1	0	0	0
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26927	902.18	18	7	0	1	0	0	0	1	0
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25636	493.83	12	10	0	1	0	0	0	1	0
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27585	308.64	16	0	0	1	0	0	0	1	0
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355	451.09	12	7	0	0	1	0	0	0	0
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6952	664.77	14	26	0	1	0	1	0	0	0
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6733	949.67	16	40	0	1	0	1	0	0	0
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12398	130.58	18	38	0	0	0	1	0	0	0
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10506	308.64	13	20	0	0	0	1	0	0	1
9160	842.10	14	17	0	1	0	1	0	0	0
22008	1151.47	13	20	0	1	0	0	1	0	0
751	854.70	12	8	0	0	1	0	0	0	0
16550	712.25	16	6	0	1	0	0	1	0	0
3080	135.03	12	4	0	1	1	0	0	0	1
16814	444.44	12	17	0	0	0	0	1	0	0
8609	657.64	12	10	0	1	0	1	0	0	0
17225	845.68	12	28	0	1	0	0	1	0	0
21549	973.41	16	18	0	1	0	0	1	0	0
27207	1187.08	16	19	0	1	0	0	0	1	0
17525	830.96	13	18	0	1	0	0	1	0	0
5053	593.54	12	21	0	1	1	0	0	0	0
26993	2160.49	14	27	0	1	0	0	0	1	0
24829	949.67	14	15	0	1	0	0	0	1	0
17140	522.32	17	10	0	1	0	0	1	0	0
11982	329.30	13	33	0	0	0	1	0	0	0
12686	1020.89	16	20	0	1	0	1	0	0	0
26278	474.83	18	6	0	1	0	0	0	1	0
12305	664.77	13	32	0	1	0	1	0	0	0
857	359.26	12	11	0	1	1	0	0	0	0
12616	610.16	12	25	0	1	0	1	0	0	0
13261	230.29	14	25	0	0	0	1	0	0	1
21486	427.35	13	13	0	1	0	0	1	0	0
4368	830.96	16	8	0	1	1	0	0	0	0
20446	329.22	12	8	0	0	0	0	1	0	0
27302	806.27	12	26	0	1	0	0	0	1	0
1245	377.91	16	23	0	1	1	0	0	0	0
15916	284.90	10	12	1	1	0	0	1	0	0
3126	339.51	15	2	0	1	1	0	0	0	0
15688	142.11	15	44	0	0	0	0	1	0	1
3708	569.80	8	38	0	1	1	0	0	0	0
2051	156.89	13	-1	0	1	1	0	0	0	1
2072	776.09	14	11	0	1	1	0	0	0	0
1705	1044.63	18	28	0	1	1	0	0	0	0
14146	688.51	11	26	1	1	0	0	1	0	0
27869	2374.15	16	20	0	1	0	0	0	1	0
18362	195.47	16	0	0	0	0	0	1	0	0
2441	123.46	10	7	0	1	1	0	0	0	1
21405	308.64	14	17	0	1	0	0	1	0	0
10368	593.54	13	26	0	1	0	1	0	0	0
7124	641.03	12	34	0	1	0	1	0	0	0
13645	356.13	17	4	0	1	0	0	1	0	1
1490	356.13	16	3	0	1	1	0	0	0	1
19722	443.97	9	26	0	0	0	0	1	0	0
11724	474.83	12	14	0	0	0	1	0	0	0
3362	308.64	8	24	1	1	1	0	0	0	0
3848	353.75	8	24	0	1	1	0	0	0	0
14835	676.07	7	43	0	1	0	0	1	0	0
15059	438.40	14	10	0	1	0	0	1	0	0
19104	902.18	14	23	0	1	0	0	1	0	0
23928	498.58	12	26	0	1	0	0	0	1	0
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23369	299.15	16	11	0	1	0	0	0	1	0
5962	712.25	18	5	0	1	1	0	0	0	0
22821	165.43	12	5	0	0	0	0	0	1	0
4793	108.02	9	3	1	1	1	0	0	0	1
22879	176.92	13	18	0	0	0	0	0	1	0
13471	949.67	16	25	0	1	0	0	1	0	0
1118	1661.92	18	18	0	1	1	0	0	0	0
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6505	1068.38	17	18	0	1	0	1	0	0	0
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10694	783.48	18	10	0	0	0	1	0	0	0
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25995	847.25	9	27	0	1	0	0	0	1	0
2407	617.28	10	44	0	1	1	0	0	0	0
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24439	159.10	0	27	0	0	0	0	0	1	0
14288	1377.02	18	32	0	1	0	0	1	0	0
10976	878.44	12	42	0	1	0	1	0	0	0
3935	246.91	13	37	0	1	1	0	0	0	1
5869	1068.38	16	20	0	1	1	0	0	0	0
14380	257.00	17	-1	0	1	0	0	1	0	1
8474	997.15	12	20	0	1	0	1	0	0	0
1135	346.63	15	10	0	1	1	0	0	0	0
10753	699.26	12	37	0	0	0	1	0	0	0
27788	973.41	15	14	0	0	0	0	0	1	0
3778	274.35	12	0	0	1	1	0	0	0	0
10585	1187.08	18	32	0	1	0	1	0	0	0
26303	189.93	0	54	0	1	0	0	0	1	0
14613	222.22	10	13	1	0	0	0	1	0	0
13264	452.97	12	10	0	1	0	1	0	0	0
10109	878.44	12	21	1	1	0	1	0	0	0
10767	712.25	18	4	0	0	0	1	0	0	0
15017	625.66	16	14	1	1	0	0	1	0	0
8343	593.54	14	22	1	1	0	1	0	0	0
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12750	341.17	12	9	0	0	0	1	0	0	0
26135	854.70	12	25	0	1	0	0	0	1	0
1883	712.25	15	39	0	1	1	0	0	0	0
28116	272.11	10	19	0	1	0	0	0	1	0
21342	783.48	12	40	1	1	0	0	1	0	0
16363	418.80	18	26	0	0	0	0	1	0	0
22543	370.37	13	23	0	1	0	0	0	1	0
19378	308.64	12	24	1	0	0	0	1	0	0
17761	664.77	12	13	0	1	0	0	1	0	0
21769	237.42	11	18	1	0	0	0	1	0	0
7960	245.27	12	45	0	1	0	1	0	0	1
15030	347.22	14	35	0	1	0	0	1	0	0
11516	586.42	12	12	0	1	0	1	0	0	0
10255	195.47	12	12	0	1	0	1	0	0	0
6768	973.41	12	34	0	1	0	1	0	0	0
1878	197.53	13	16	1	1	1	0	0	0	0
4619	493.83	14	3	0	1	1	0	0	0	0
4689	593.54	16	3	0	1	1	0	0	0	0
24983	944.28	12	20	0	1	0	0	0	1	0
10646	902.18	16	18	0	0	0	1	0	0	0
2437	474.83	12	10	0	1	1	0	0	0	0
5139	237.42	12	16	0	1	1	0	0	0	0
4211	481.96	18	24	0	1	1	0	0	0	0
1833	688.51	16	9	0	1	1	0	0	0	0
27609	123.46	12	8	0	1	0	0	0	1	0
10755	403.61	12	4	0	1	0	1	0	0	0
24501	474.83	9	14	0	1	0	0	0	1	0
19486	474.83	12	37	0	0	0	0	1	0	0
26088	2314.81	18	29	0	1	0	0	0	1	0
24909	586.42	12	11	0	1	0	0	0	1	0
27652	427.35	13	29	0	1	0	0	0	1	0
13088	238.68	16	-1	0	1	0	1	0	0	0
5364	949.67	17	12	0	1	1	0	0	0	0
25797	1661.92	18	39	0	1	0	0	0	1	0
19686	284.90	12	14	0	0	0	0	1	0	0
17074	688.51	15	15	0	1	0	0	1	0	0
1931	284.90	12	8	0	1	1	0	0	0	0
6800	522.32	14	17	0	1	0	1	0	0	0
7809	370.37	2	41	0	1	0	1	0	0	0
1903	231.48	12	46	0	1	1	0	0	0	0
11266	469.14	12	36	0	1	0	1	0	0	0
21287	379.87	12	43	0	1	0	0	1	0	0
2865	1579.10	18	23	0	1	1	0	0	0	0
16485	593.54	12	15	0	0	0	0	1	0	0
4632	2374.15	18	8	0	1	1	0	0	0	0
8466	783.48	8	44	0	1	0	1	0	0	0
24076	962.96	12	31	0	0	0	0	0	1	0
3682	246.91	10	11	0	1	1	0	0	0	0
20652	522.32	12	28	1	1	0	0	1	0	0
21289	300.59	18	7	0	1	0	0	1	0	0
19005	356.13	11	33	0	1	0	0	1	0	0
12246	770.09	16	28	0	1	0	1	0	0	0
5803	241.66	12	15	0	1	1	0	0	0	0
17891	1187.08	18	9	0	1	0	0	1	0	0
6642	867.59	13	19	0	1	0	1	0	0	0
5727	277.62	18	33	0	1	1	0	0	0	1
1010	274.69	17	7	0	1	1	0	0	0	0
1668	949.67	16	24	0	1	1	0	0	0	0
13253	65.10	18	30	0	1	0	1	0	0	1
7186	451.09	12	13	0	1	0	1	0	0	0
4851	427.99	12	9	0	1	1	0	0	0	0
4997	771.60	16	45	0	1	1	0	0	0	1
2736	830.96	15	11	0	1	1	0	0	0	0
17852	461.35	12	12	0	1	0	0	1	0	0
7410	664.77	12	21	0	0	0	1	0	0	0
9981	211.59	11	9	0	0	0	1	0	0	0
14260	617.28	17	3	0	1	0	0	1	0	0
27790	1529.79	14	46	0	0	0	0	0	1	0
18845	973.41	12	31	0	1	0	0	1	0	0
20729	546.06	16	35	0	1	0	0	1	0	0
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23398	332.38	14	12	0	1	0	0	0	1	0
9504	1115.86	12	6	0	1	0	1	0	0	0
6345	54.61	13	0	0	0	1	0	0	0	1
8915	712.25	18	17	0	1	0	1	0	0	0
26785	1163.34	14	30	0	1	0	0	0	1	0
865	462.96	12	30	0	1	1	0	0	0	0
21435	106.08	14	0	0	0	0	0	1	0	1
1465	118.71	16	6	0	1	1	0	0	0	0
9075	593.40	12	23	0	1	0	1	0	0	0
4648	474.83	12	0	0	1	1	0	0	0	0
10175	206.87	12	10	0	0	0	1	0	0	0
15238	548.88	14	32	0	1	0	0	1	0	0
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23754	1329.53	18	9	0	1	0	0	0	1	0
11240	284.90	12	3	0	0	0	1	0	0	0
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3703	427.35	15	3	1	1	1	0	0	0	0
4826	1210.83	18	13	0	1	1	0	0	0	0
17551	712.25	16	18	0	1	0	0	1	0	0
15572	308.64	9	45	0	0	0	0	1	0	0
24355	165.43	12	0	0	0	0	0	0	1	0
11808	593.54	18	1	0	0	0	1	0	0	0
5075	370.37	16	26	1	1	1	0	0	0	0
2344	98.77	8	40	0	1	1	0	0	0	0
5850	824.28	15	11	0	1	1	0	0	0	0
1807	949.67	12	38	0	0	1	0	0	0	0
23667	451.09	11	23	0	0	0	0	0	1	0
11334	712.25	18	3	0	1	0	1	0	0	0
4830	807.22	16	41	0	1	1	0	0	0	0
5381	130.10	14	20	0	1	1	0	0	0	1
724	379.87	12	9	0	0	1	0	0	0	0
9230	1377.02	16	37	0	1	0	1	0	0	0
16360	284.90	14	2	0	0	0	0	1	0	0
11586	522.32	12	14	0	1	0	1	0	0	0
16691	462.96	12	1	0	1	0	0	1	0	0
4567	949.67	11	45	0	1	1	0	0	0	0
20185	199.43	16	47	0	1	0	0	1	0	1
20763	832.72	18	25	0	1	0	0	1	0	0
25304	1746.03	12	14	0	1	0	0	0	1	1
21535	949.67	16	15	0	1	0	0	1	0	0
26673	641.03	13	12	0	1	0	0	0	1	0
4215	320.51	12	39	0	1	1	0	0	0	0
19648	254.18	9	15	0	0	0	0	1	0	0
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4859	712.25	18	44	0	1	1	0	0	0	0
20919	712.25	11	36	0	1	0	0	1	0	0
3881	474.83	18	0	0	0	1	0	0	0	0
25556	759.73	12	23	0	1	0	0	0	1	0
15184	949.67	9	40	0	1	0	0	1	0	0
6386	266.17	12	4	0	0	1	0	0	0	0
21195	270.06	16	2	0	1	0	0	1	0	0
23319	154.32	11	10	0	1	0	0	0	1	0
9787	591.14	14	11	0	1	0	1	0	0	0
2351	759.73	12	42	0	0	1	0	0	0	0
18638	687.56	15	46	0	1	0	0	1	0	0
15652	451.09	15	4	0	0	0	0	1	0	0
22147	221.50	12	6	0	0	0	0	0	1	0
27057	807.22	16	3	0	1	0	0	0	1	0
8986	522.32	16	15	0	1	0	1	0	0	0
19971	1115.86	15	18	1	1	0	0	1	0	0
20607	593.54	13	24	0	1	0	0	1	0	0
1316	61.73	12	47	0	1	1	0	0	0	1
23267	1424.50	16	7	0	1	0	0	0	1	0
10663	379.87	13	5	0	1	0	1	0	0	0
16218	697.80	12	33	0	1	0	0	1	0	0
20229	2374.15	12	23	0	1	0	0	1	0	0
2980	617.28	9	33	0	1	1	0	0	0	0
16540	712.25	14	10	0	1	0	0	1	0	0
25709	712.25	12	21	1	1	0	0	0	1	0
25315	226.27	16	37	0	1	0	0	0	1	1
16351	244.44	12	2	0	0	0	0	1	0	0
17754	645.77	14	39	1	1	0	0	1	0	1
10618	284.90	12	7	0	0	0	1	0	0	0
14996	379.87	12	6	0	1	0	0	1	0	0
1856	474.83	16	34	0	1	1	0	0	0	0
12158	498.58	12	15	0	1	0	1	0	0	0
5524	474.83	12	26	0	1	1	0	0	0	0
19303	712.25	16	9	1	0	0	0	1	0	0
11000	664.77	12	36	0	1	0	1	0	0	0
22737	569.80	12	33	0	0	0	0	0	1	0
13526	99.72	12	47	0	0	0	0	1	0	1
4718	586.42	9	21	0	1	1	0	0	0	0
13954	712.25	12	38	0	0	0	0	1	0	0
26899	474.83	12	7	0	1	0	0	0	1	0
295	363.25	12	5	0	1	1	0	0	0	0
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17934	1346.15	18	34	0	1	0	0	1	0	0
11405	712.25	13	17	0	0	0	1	0	0	0
24074	142.45	16	-1	0	0	0	0	0	1	1
23501	415.48	12	11	0	1	0	0	0	1	0
21604	400.26	0	52	0	1	0	0	1	0	0
1932	522.32	16	5	0	1	1	0	0	0	0
13103	284.90	12	2	0	1	0	1	0	0	0
13468	569.80	16	4	0	1	0	0	1	0	0
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11745	165.43	12	9	0	1	0	1	0	0	0
20410	246.91	16	0	0	0	0	0	1	0	1
17719	166.19	12	17	0	1	0	0	1	0	0
20789	514.40	10	13	0	1	0	0	1	0	0
26470	391.74	14	33	0	1	0	0	0	1	0
7578	965.50	10	29	0	0	0	1	0	0	0
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9180	167.76	12	5	0	1	0	1	0	0	0
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27256	471.88	16	10	1	1	0	0	0	1	0
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1106	356.13	12	5	0	1	1	0	0	0	0
10556	396.49	12	14	0	1	0	1	0	0	0
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6231	513.46	12	12	0	0	1	0	0	0	0
5385	81.93	14	-1	0	1	1	0	0	0	1
8182	1020.89	14	16	0	1	0	1	0	0	0
22435	409.77	14	4	0	0	0	0	0	1	0
24403	617.28	14	28	0	0	0	0	0	1	0
312	546.06	14	3	0	0	1	0	0	0	0
22418	404.28	12	8	0	0	0	0	0	1	0
3807	516.55	12	9	0	0	1	0	0	0	0
16684	830.96	16	25	0	1	0	0	1	0	0
26284	403.61	13	5	0	1	0	0	0	1	0
18720	456.25	14	22	1	1	0	0	1	0	0
25091	617.28	8	45	0	1	0	0	0	1	0
16095	284.90	16	29	0	0	0	0	1	0	0
26540	189.93	4	25	0	1	0	0	0	1	0
17565	664.77	14	23	0	1	0	0	1	0	0
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21117	617.28	18	22	0	1	0	0	1	0	0
6466	759.73	16	13	0	1	0	1	0	0	0
16949	1234.57	16	18	0	1	0	0	1	0	0
8716	830.96	12	11	0	1	0	1	0	0	0
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17652	641.98	10	23	0	1	0	0	1	0	0
4063	498.58	12	19	0	1	1	0	0	0	0
13075	233.20	18	5	0	1	0	1	0	0	1
12117	679.01	18	20	0	0	0	1	0	0	0
27633	332.38	14	38	0	1	0	0	0	1	0
1021	878.44	14	27	0	1	1	0	0	0	0
21304	664.77	16	27	1	1	0	0	1	0	0
5552	593.54	12	27	0	1	1	0	0	0	0
24380	629.15	14	9	0	0	0	0	0	1	0
15834	237.42	12	11	0	0	0	0	1	0	1
6640	1163.34	13	13	0	1	0	1	0	0	0
4327	106.84	12	1	1	1	1	0	0	0	0
2037	403.61	12	35	0	1	1	0	0	0	0
14397	664.77	16	8	0	1	0	0	1	0	0
13071	617.28	12	17	0	1	0	1	0	0	0
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229	403.61	13	12	0	1	1	0	0	0	0
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1124	1092.12	16	18	0	1	1	0	0	0	0
27835	2374.15	18	33	0	1	0	0	0	1	0
8284	593.54	12	10	1	1	0	1	0	0	0
27926	512.46	12	14	0	0	0	0	0	1	0
20505	411.52	16	7	0	1	0	0	1	0	0
524	584.05	12	14	0	1	1	0	0	0	0
24790	403.61	18	17	0	1	0	0	0	1	0
13033	237.42	14	48	0	1	0	1	0	0	0
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15772	177.78	11	3	0	0	0	0	1	0	0
24960	284.90	12	24	0	0	0	0	0	1	0
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25252	809.59	16	15	0	0	0	0	0	1	0
10148	394.11	9	42	0	1	0	1	0	0	0
14019	569.80	10	22	1	1	0	0	1	0	0
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19718	216.76	12	4	0	0	0	0	1	0	0
22340	287.16	16	9	0	1	0	0	0	1	1
20767	676.64	12	11	0	1	0	0	1	0	0
21187	1187.08	17	25	0	1	0	0	1	0	0
23430	265.91	7	19	0	1	0	0	0	1	0
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341	830.96	17	9	0	1	1	0	0	0	0
7036	617.28	12	26	0	1	0	1	0	0	0
16861	830.96	10	39	0	1	0	0	1	0	0
4039	997.15	14	20	0	0	1	0	0	0	0
27138	96.19	12	0	0	1	0	0	0	1	0
9225	491.45	14	6	0	1	0	1	0	0	0
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18832	249.29	12	10	1	1	0	0	1	0	0
22605	1056.51	12	40	0	1	0	0	0	1	0
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23204	1543.21	16	8	0	1	0	0	0	1	0
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3604	957.38	12	13	0	1	1	0	0	0	0
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21341	903.37	18	13	0	1	0	0	1	0	0
17129	308.64	0	47	1	1	0	0	1	0	0
16537	949.67	12	14	0	0	0	0	1	0	0
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16315	142.45	6	24	0	1	0	0	1	0	0
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6732	474.83	13	7	0	1	0	1	0	0	0
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11839	237.42	12	29	0	0	0	1	0	0	0
4228	83.10	8	55	1	1	1	0	0	0	1
21463	154.32	6	43	0	1	0	0	1	0	1
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899	446.13	12	43	0	1	1	0	0	0	0
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6779	1187.08	16	23	0	1	0	1	0	0	0
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25939	484.33	14	15	0	1	0	0	0	1	0
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6124	569.80	12	22	0	1	1	0	0	0	0
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9202	522.32	12	16	0	0	0	1	0	0	0
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8106	1092.12	12	25	1	1	0	1	0	0	0
25905	284.90	9	15	0	1	0	0	0	1	0
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22084	712.25	17	4	0	0	0	0	0	1	0
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5565	569.80	12	8	0	1	1	0	0	0	0
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7533	1899.34	16	7	0	0	0	1	0	0	0
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16265	67.34	13	37	0	1	0	0	1	0	0
5507	498.48	12	26	1	1	1	0	0	0	0
24903	296.30	18	10	0	1	0	0	0	1	1
8258	92.59	12	8	1	1	0	1	0	0	0
5066	284.90	12	3	0	1	1	0	0	0	0
16029	300.66	10	3	0	0	0	0	1	0	0
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7677	754.75	12	21	0	1	0	1	0	0	0
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22577	830.96	12	15	0	1	0	0	0	1	0
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14947	451.09	12	20	0	1	0	0	1	0	0
13054	498.58	12	19	0	1	0	1	0	0	0
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8754	593.54	12	5	0	1	0	1	0	0	0
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7083	1068.38	12	7	0	1	0	1	0	0	0
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6214	252.53	12	27	0	1	1	0	0	0	0
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1258	546.06	12	12	0	1	1	0	0	0	0
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4885	795.35	8	44	0	1	1	0	0	0	0
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14101	759.73	16	11	1	1	0	0	1	0	0
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13121	198.05	12	4	0	1	0	1	0	0	0
13871	569.80	12	18	1	1	0	0	1	0	0
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21093	449.64	12	41	0	1	0	0	1	0	0
14791	472.59	12	25	0	0	0	0	1	0	0
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26352	181.62	11	3	0	1	0	0	0	1	0
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6810	617.28	18	15	0	1	0	1	0	0	0
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21029	356.13	13	4	0	1	0	0	1	0	0
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5675	759.73	14	25	0	1	1	0	0	0	0
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5472	783.48	12	31	0	1	1	0	0	0	0
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19577	296.30	8	20	0	1	0	0	1	0	0
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8367	2374.15	18	7	0	1	0	1	0	0	0
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11849	332.38	11	30	0	0	0	1	0	0	0
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9667	403.61	12	7	0	1	0	1	0	0	0
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14177	641.03	11	32	1	1	0	0	1	0	0
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17940	2362.44	16	17	0	1	0	0	1	0	0
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6724	407.17	16	10	1	1	0	1	0	0	0
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19341	356.13	12	10	0	1	0	0	1	0	0
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21941	308.64	13	1	0	0	0	0	1	0	0
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21642	747.86	13	4	0	1	0	0	1	0	0
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9110	2207.98	16	15	0	1	0	1	0	0	0
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6785	807.22	18	18	0	1	0	1	0	0	0
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3986	1068.38	18	13	0	1	1	0	0	0	0
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21880	98.77	4	52	0	1	0	0	1	0	1
24774	1092.12	18	21	0	1	0	0	0	1	0
1509	73.60	16	34	0	1	1	0	0	0	0
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943	593.54	11	13	0	1	1	0	0	0	0
14196	522.32	18	11	0	1	0	0	1	0	0
20104	788.75	16	26	0	0	0	0	1	0	0
5883	522.32	11	46	0	1	1	0	0	0	0
4553	522.32	12	17	0	1	1	0	0	0	0
16505	284.90	12	16	1	0	0	0	1	0	0
22238	284.90	10	9	0	0	0	0	0	1	0
19136	641.03	12	30	0	0	0	0	1	0	0
21239	416.84	12	20	0	1	0	0	1	0	0
22511	71.23	14	-1	0	0	0	0	0	1	1
17151	617.28	12	1	0	1	0	0	1	0	0
13972	415.48	14	13	0	0	0	0	1	0	0
14369	1305.79	18	13	0	1	0	0	1	0	0
18454	617.28	16	18	0	0	0	0	1	0	0
8954	308.64	11	20	0	0	0	1	0	0	1
21783	617.28	12	47	0	0	0	0	1	0	0
7	284.90	8	51	0	1	1	0	0	0	0
18363	327.52	14	5	0	0	0	0	1	0	0
6742	688.51	12	37	1	1	0	1	0	0	0
1605	1020.89	16	25	0	1	1	0	0	0	0
3764	593.54	12	23	0	0	1	0	0	0	0
4036	341.88	12	25	0	0	1	0	0	0	0
26969	474.83	15	7	0	1	0	0	0	1	0
14520	902.18	18	12	0	1	0	0	1	0	0
22951	902.18	14	12	0	0	0	0	0	1	0
26434	617.28	14	8	0	1	0	0	0	1	0
13119	728.87	18	17	0	0	0	1	0	0	0
3337	144.44	15	0	0	1	1	0	0	0	1
8111	676.64	16	5	0	1	0	1	0	0	0
24095	391.74	16	11	0	0	0	0	0	1	0
4173	1282.05	15	25	0	1	1	0	0	0	0
8330	427.35	8	37	0	1	0	1	0	0	0
8181	906.93	18	29	0	1	0	1	0	0	0
2994	712.25	15	9	0	1	1	0	0	0	0
27160	1661.92	18	11	0	1	0	0	0	1	0
4594	104.46	14	8	0	1	1	0	0	0	0
13456	759.73	16	14	0	1	0	0	1	0	0
5090	427.35	12	14	0	1	1	0	0	0	0
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9416	764.48	12	11	0	1	0	1	0	0	0
22655	190.80	11	44	0	0	0	0	0	1	1
19246	308.64	12	31	0	0	0	0	1	0	0
18912	540.12	8	42	0	1	0	0	1	0	0
11886	617.28	14	3	0	1	0	1	0	0	0
15561	919.36	12	34	0	0	0	0	1	0	0
14013	451.09	9	53	1	1	0	0	1	0	0
14073	254.04	12	3	1	1	0	0	1	0	0
2154	712.25	12	42	0	1	1	0	0	0	0
8145	569.80	12	8	0	1	0	1	0	0	0
11582	768.18	12	11	0	1	0	1	0	0	0
9494	1055.89	12	24	0	1	0	1	0	0	0
4420	854.70	12	24	0	1	1	0	0	0	0
23504	420.88	10	11	0	1	0	0	0	1	0
2482	664.77	14	7	0	1	1	0	0	0	0
2591	237.42	12	7	0	1	1	0	0	0	1
2137	735.99	16	10	0	1	1	0	0	0	0
13593	735.99	16	38	0	0	0	0	1	0	0
9501	830.96	12	43	0	1	0	1	0	0	0
14542	759.73	10	27	1	1	0	0	1	0	0
24730	370.37	14	17	0	1	0	0	0	1	0
23806	403.61	13	25	0	1	0	0	0	1	0
3078	118.71	13	2	0	1	1	0	0	0	0
27191	1187.08	12	14	0	1	0	0	0	1	0
16016	569.80	7	30	0	0	0	0	1	0	0
9342	720.94	9	42	0	1	0	1	0	0	0
22014	384.62	12	4	1	1	0	0	1	0	0
18214	807.22	12	39	0	1	0	0	1	0	0
15793	123.46	12	1	1	0	0	0	1	0	1
2834	760.45	13	26	1	1	1	0	0	0	0
10959	109.21	12	2	0	1	0	1	0	0	1
21367	100.78	13	0	0	1	0	0	1	0	1
25090	288.07	12	48	0	1	0	0	0	1	1
12439	878.44	12	13	0	0	0	1	0	0	0
9685	266.67	12	4	0	1	0	1	0	0	0
22120	183.39	12	28	0	0	0	0	0	1	1
7198	284.90	9	19	0	1	0	1	0	0	0
7705	320.51	13	5	0	1	0	1	0	0	0
3615	522.32	12	40	0	1	1	0	0	0	0
21732	216.05	13	10	0	0	0	0	1	0	0
14107	232.67	12	12	1	1	0	0	1	0	0
22802	414.01	13	25	0	0	0	0	0	1	0
27262	664.77	13	26	0	1	0	0	0	1	0
13907	717.00	15	11	0	1	0	0	1	0	0
17631	493.83	18	19	1	1	0	0	1	0	1
16178	189.93	16	-1	0	1	0	0	1	0	0
19205	411.52	12	43	0	1	0	0	1	0	0
8485	427.98	14	0	0	1	0	1	0	0	1
13786	652.90	12	39	0	1	0	0	1	0	0
17301	368.00	12	39	0	1	0	0	1	0	0
22956	1187.08	18	17	0	0	0	0	0	1	0
22436	379.87	13	2	0	0	0	0	0	1	0
2595	225.13	11	7	0	1	1	0	0	0	0
27072	641.03	16	1	0	1	0	0	0	1	0
25573	284.90	16	8	0	1	0	0	0	1	0
9806	717.77	12	4	0	1	0	1	0	0	0
18047	154.32	13	0	0	1	0	0	1	0	0
8756	641.03	18	30	0	1	0	1	0	0	0
15677	199.43	16	4	1	0	0	0	1	0	0
19035	555.56	12	14	0	0	0	0	1	0	0
1718	240.55	8	15	0	0	1	0	0	0	0
26233	205.76	4	28	0	1	0	0	0	1	0
21281	203.75	16	7	0	1	0	0	1	0	1
3391	522.32	16	9	0	1	1	0	0	0	0
3773	797.65	12	30	0	1	1	0	0	0	0
12681	569.80	18	24	0	1	0	1	0	0	0
11748	498.58	13	15	0	1	0	1	0	0	0
11556	1742.92	12	19	0	1	0	1	0	0	0
12262	237.42	12	28	0	0	0	1	0	0	0
6037	403.61	12	11	0	0	1	0	0	0	0
23924	63.24	17	9	0	1	0	0	0	1	0
20769	249.29	13	2	0	1	0	0	1	0	0
7642	399.42	12	5	0	0	0	1	0	0	0
25701	142.45	5	16	0	1	0	0	0	1	0
7178	128.60	15	-2	0	1	0	1	0	0	1
14625	154.32	9	32	0	0	0	0	1	0	0
17246	1187.08	14	24	0	1	0	0	1	0	0
21676	284.90	14	14	0	1	0	0	1	0	1
3864	79.77	8	49	0	0	1	0	0	0	1
18841	944.92	16	9	0	1	0	0	1	0	0
14318	498.46	18	10	0	1	0	0	1	0	0
27334	830.96	16	3	0	1	0	0	0	1	0
20419	427.35	13	13	0	0	0	0	1	0	0
14434	1092.12	18	19	0	1	0	0	1	0	0
20179	287.11	12	6	0	1	0	0	1	0	0
10587	1041.98	8	52	0	1	0	1	0	0	0
27780	92.59	12	0	0	1	0	0	0	1	1
15667	286.42	7	57	0	1	0	0	1	0	0
25781	197.53	6	14	0	1	0	0	0	1	0
20251	830.96	13	23	0	1	0	0	1	0	0
10489	925.93	18	33	0	1	0	1	0	0	0
18326	94.97	9	10	0	0	0	0	1	0	0
14780	160.49	11	2	0	1	0	0	1	0	0
12285	343.36	15	6	0	0	0	1	0	0	0
17600	253.24	12	6	0	1	0	0	1	0	0
24854	367.90	9	41	0	1	0	0	0	1	0
2110	1068.38	17	15	0	1	1	0	0	0	0
9673	593.54	12	20	0	1	0	1	0	0	0
21219	213.68	5	10	0	1	0	0	1	0	0
4588	1044.63	12	42	0	1	1	0	0	0	0
5927	284.90	16	2	0	1	1	0	0	0	1
19307	65.65	12	11	0	0	0	0	1	0	0
2087	280.58	13	1	0	1	1	0	0	0	0
13984	50.39	18	6	0	1	0	0	1	0	1
18130	712.25	14	21	0	1	0	0	1	0	0
13959	498.58	12	13	0	0	0	0	1	0	0
9222	296.30	18	10	0	1	0	1	0	0	0
8306	712.25	13	31	1	1	0	1	0	0	0
24297	216.05	15	0	0	1	0	0	0	1	0
10288	1150.39	11	45	0	1	0	1	0	0	0
5189	593.54	16	41	0	1	1	0	0	0	0
18627	237.42	10	15	0	1	0	0	1	0	0
21163	997.15	10	37	0	1	0	0	1	0	0
6209	68.59	14	1	0	1	1	0	0	0	0
2444	261.16	16	1	0	1	1	0	0	0	1
20119	166.19	18	25	0	1	0	0	1	0	0
5069	498.58	11	43	1	1	1	0	0	0	0
8948	77.16	14	0	0	1	0	1	0	0	1
16015	301.52	10	35	0	0	0	0	1	0	0
16476	569.80	12	13	0	0	0	0	1	0	0
23109	474.83	16	25	0	1	0	0	0	1	0
6547	536.56	12	18	0	1	0	1	0	0	0
3862	427.35	12	12	0	0	1	0	0	0	0
14168	192.04	12	1	1	1	0	0	1	0	0
25221	1780.63	18	21	0	1	0	0	0	1	0
15502	256.79	12	21	1	1	0	0	1	0	0
7141	356.13	12	16	0	1	0	1	0	0	0
5856	246.91	12	11	0	1	1	0	0	0	0
7131	1251.89	12	38	0	1	0	1	0	0	0
27933	1187.08	15	19	0	0	0	0	0	1	0
10562	488.19	12	24	0	0	0	1	0	0	0
26253	1543.21	17	36	0	1	0	0	0	1	0
26332	148.15	17	2	0	1	0	0	0	1	1
21933	84.28	8	25	0	1	0	0	1	0	1
17499	284.90	7	50	0	1	0	0	1	0	0
24317	589.21	11	23	0	1	0	0	0	1	0
22313	730.58	12	31	0	0	0	0	0	1	0
12650	1661.92	18	17	0	1	0	1	0	0	0
26028	1032.76	13	23	0	1	0	0	0	1	0
8318	1139.60	18	16	0	1	0	1	0	0	0
18973	795.35	15	27	0	1	0	0	1	0	0
25168	2374.15	18	19	0	1	0	0	0	1	0
24473	427.35	12	3	0	1	0	0	0	1	0
812	666.67	18	4	0	1	1	0	0	0	0
17310	308.64	14	7	0	1	0	0	1	0	0
26991	493.83	5	40	0	1	0	0	0	1	0
8221	104.30	4	36	0	1	0	1	0	0	0
27179	949.67	16	9	0	1	0	0	0	1	0
19467	591.93	12	40	0	1	0	0	1	0	0
4204	444.44	12	14	0	1	1	0	0	0	0
24917	759.73	12	33	0	1	0	0	0	1	0
17062	237.42	17	12	0	1	0	0	1	0	0
16309	356.13	13	1	1	1	0	0	1	0	0
98	949.67	17	17	0	0	1	0	0	0	0
23486	474.83	12	18	0	1	0	0	0	1	0
18194	567.71	12	12	0	1	0	0	1	0	0
22096	546.06	12	16	0	1	0	0	0	1	0
24400	152.51	13	-1	0	0	0	0	0	1	0
10298	740.74	18	13	0	1	0	1	0	0	0
5256	1899.34	16	23	0	1	1	0	0	0	0
1468	246.91	18	4	0	1	1	0	0	0	1
673	543.54	12	11	0	1	1	0	0	0	0
16779	1044.63	13	35	0	0	0	0	1	0	0
26189	370.37	12	12	0	1	0	0	0	1	0
2377	338.90	8	12	0	1	1	0	0	0	0
10713	83.10	16	3	0	0	0	1	0	0	1
23562	735.99	12	16	1	1	0	0	0	1	0
27174	112.35	15	2	0	1	0	0	0	1	1
15463	1474.03	18	33	0	1	0	0	1	0	0
7447	220.46	12	1	0	0	0	1	0	0	0
1521	759.73	14	24	0	1	1	0	0	0	0
7171	67.02	12	5	0	1	0	1	0	0	0
3319	949.67	13	26	0	1	1	0	0	0	0
20402	356.13	10	30	1	0	0	0	1	0	0
9573	1020.89	16	16	1	1	0	1	0	0	0
22483	404.04	16	7	0	1	0	0	0	1	1
27691	126.61	13	7	1	1	0	0	0	1	0
20066	832.62	18	19	0	1	0	0	1	0	0
25371	617.28	12	45	0	1	0	0	0	1	0
13974	712.25	15	12	0	0	0	0	1	0	0
4476	712.25	12	16	0	1	1	0	0	0	0
25653	92.59	11	1	0	1	0	0	0	1	0
399	973.41	18	23	0	1	1	0	0	0	0
18263	432.10	12	25	1	1	0	0	1	0	0
9296	987.65	16	5	0	1	0	1	0	0	0
7459	177.78	12	14	0	0	0	1	0	0	0
6445	617.28	12	23	0	1	0	1	0	0	0
7205	237.42	14	33	0	1	0	1	0	0	0
2471	493.83	15	8	0	1	1	0	0	0	0
27313	284.90	11	7	0	1	0	0	0	1	0
9571	451.09	12	12	0	1	0	1	0	0	0
24065	349.79	15	46	0	0	0	0	0	1	0
19167	353.21	15	9	0	0	0	0	1	0	0
16155	1780.63	15	22	0	1	0	0	1	0	0
10024	498.58	12	7	0	1	0	1	0	0	0
4102	664.77	12	37	0	1	1	0	0	0	0
24613	237.42	10	10	0	1	0	0	0	1	0
25918	1187.08	14	32	1	1	0	0	0	1	0
19751	284.90	7	35	0	0	0	0	1	0	0
11020	474.83	14	18	0	0	0	1	0	0	0
17827	783.48	14	39	0	1	0	0	1	0	0
6280	629.15	16	11	0	1	1	0	0	0	0
21001	213.99	12	1	0	1	0	0	1	0	1
19717	389.08	12	8	0	0	0	0	1	0	0
24532	284.59	13	13	1	1	0	0	0	1	0
11355	503.21	12	16	0	0	0	1	0	0	0
320	1187.08	7	33	0	1	1	0	0	0	0
12024	142.45	12	50	0	0	0	1	0	0	1
8670	949.67	16	25	0	1	0	1	0	0	0
12125	333.57	18	2	0	1	0	1	0	0	0
6100	251.40	12	6	0	0	1	0	0	0	0
21763	189.93	12	12	1	1	0	0	1	0	0
6629	493.83	14	17	0	1	0	1	0	0	0
22980	830.96	14	17	0	0	0	0	0	1	0
20838	959.88	16	5	0	1	0	0	1	0	0
9593	807.22	16	3	0	1	0	1	0	0	0
14629	759.73	12	13	0	0	0	0	1	0	0
13561	474.83	12	23	0	0	0	0	1	0	0
9652	1020.89	11	29	0	1	0	1	0	0	0
20475	498.58	16	2	0	1	0	0	1	0	0
18264	356.13	14	9	0	1	0	0	1	0	0
11986	61.73	17	-1	0	0	0	1	0	0	1
21935	160.18	6	20	0	1	0	0	1	0	0
18113	493.83	12	3	0	1	0	0	1	0	0
15231	1305.79	16	45	0	1	0	0	1	0	0
19527	830.96	13	32	0	1	0	0	1	0	0
21739	527.07	14	14	0	1	0	0	1	0	0
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14730	712.25	11	27	0	0	0	0	1	0	0
10660	955.79	15	22	0	1	0	1	0	0	0
20645	686.04	12	7	0	1	0	0	1	0	0
1458	688.51	12	20	0	1	1	0	0	0	0
24202	436.85	16	26	0	1	0	0	0	1	0
14588	664.77	10	9	0	0	0	0	1	0	0
23876	1780.63	18	5	0	1	0	0	0	1	0
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27292	664.77	16	6	0	1	0	0	0	1	0
26983	569.80	6	19	0	1	0	0	0	1	0
12194	391.74	16	11	0	1	0	1	0	0	0
14299	284.90	12	8	0	1	0	0	1	0	0
12484	71.23	13	28	0	0	0	1	0	0	0
17037	1139.60	18	11	0	1	0	0	1	0	0
21548	194.44	1	16	0	0	0	0	1	0	0
11594	522.32	12	25	0	1	0	1	0	0	0
16865	451.09	17	5	0	0	0	0	1	0	0
5724	293.40	12	5	0	1	1	0	0	0	0
27355	237.42	12	4	0	1	0	0	0	1	0
27405	617.28	12	12	0	1	0	0	0	1	0
17785	563.77	12	42	0	1	0	0	1	0	0
7767	522.32	15	5	0	1	0	1	0	0	0
19310	581.67	14	13	0	0	0	0	1	0	0
25267	546.06	9	28	0	0	0	0	0	1	0
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4120	522.32	11	45	1	1	1	0	0	0	0
22185	1234.57	18	15	0	0	0	0	0	1	0
7985	130.41	12	38	0	0	0	1	0	0	0
24268	1139.60	14	34	0	1	0	0	0	1	0
25557	284.90	12	27	1	1	0	0	0	1	0
10403	735.99	16	12	0	1	0	1	0	0	0
14931	356.13	12	12	0	0	0	0	1	0	0
22043	985.28	14	44	0	0	0	0	1	0	0
9195	790.36	12	30	0	0	0	1	0	0	0
16216	830.96	10	34	0	1	0	0	1	0	0
3794	356.13	15	9	0	1	1	0	0	0	0
19868	372.84	4	24	1	0	0	0	1	0	0
2525	403.61	12	10	0	1	1	0	0	0	0
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14153	108.02	13	0	1	1	0	0	1	0	1
7651	284.90	16	0	0	0	0	1	0	0	1
21436	356.13	0	54	0	1	0	0	1	0	0
16342	403.61	14	13	1	1	0	0	1	0	0
18093	911.68	14	10	0	1	0	0	1	0	0
26388	617.28	12	8	0	1	0	0	0	1	0
13844	1384.57	18	21	0	1	0	0	1	0	0
25053	593.54	14	19	0	0	0	0	0	1	0
1808	712.25	13	13	0	0	1	0	0	0	0
14170	460.39	16	12	0	1	0	0	1	0	0
24180	546.06	16	7	0	1	0	0	0	1	0
21971	688.51	16	6	0	1	0	0	1	0	0
27812	1187.08	15	18	0	0	0	0	0	1	0
22356	345.68	16	22	0	0	0	0	0	1	1
14630	123.46	11	49	0	0	0	0	1	0	1
11533	709.88	12	16	0	1	0	1	0	0	0
15958	382.19	12	15	0	0	0	0	1	0	0
16512	641.03	18	32	0	1	0	0	1	0	0
12904	256.41	12	25	0	0	0	1	0	0	0
11015	442.83	12	8	0	0	0	1	0	0	0
14726	213.68	2	51	0	0	0	0	1	0	0
7859	166.19	14	18	0	0	0	1	0	0	0
25389	237.42	6	28	0	1	0	0	0	1	0
10715	415.48	12	14	0	0	0	1	0	0	0
12428	415.48	12	22	0	0	0	1	0	0	0
3721	1092.12	16	5	0	1	1	0	0	0	0
3538	109.19	14	-1	0	1	1	0	0	0	1
10234	347.79	12	13	0	0	0	1	0	0	0
15116	403.61	16	15	0	1	0	0	1	0	0
6485	451.09	12	43	0	1	0	1	0	0	0
27447	712.25	11	31	0	1	0	0	0	1	0
8923	1377.02	18	13	0	1	0	1	0	0	0
7098	293.21	10	31	0	1	0	1	0	0	0
28026	427.35	13	39	0	1	0	0	0	1	0
25276	3283.95	10	10	0	1	0	0	0	1	1
20525	304.80	12	10	0	1	0	0	1	0	0
10735	451.09	11	14	0	1	0	1	0	0	0
10798	380.34	11	21	0	1	0	1	0	0	0
6253	2374.15	18	17	0	1	1	0	0	0	0
15387	7716.05	3	59	0	1	0	0	1	0	1
26916	830.96	12	29	0	1	0	0	0	1	0
23146	123.46	12	42	0	1	0	0	0	1	1
27914	1899.34	9	36	0	1	0	0	0	1	0
13319	833.74	13	35	0	1	0	0	1	0	0
25160	370.37	12	7	0	1	0	0	0	1	0
1045	74.51	14	-2	0	1	1	0	0	0	1
26246	830.96	7	26	0	1	0	0	0	1	0
26391	199.43	2	15	0	1	0	0	0	1	0
6230	324.38	12	10	0	1	1	0	0	0	0
14420	408.36	12	5	0	1	0	0	1	0	0
6031	810.47	12	13	0	1	1	0	0	0	0
15638	237.42	16	8	0	0	0	0	1	0	0
20370	733.88	12	31	0	0	0	0	1	0	0
19231	185.19	10	5	0	0	0	0	1	0	0
2264	237.42	12	13	0	1	1	0	0	0	0
10284	118.64	15	7	0	0	0	1	0	0	1
1664	308.64	14	9	0	1	1	0	0	0	0
28087	1899.34	15	21	0	1	0	0	0	1	0
10141	1056.51	18	18	0	1	0	1	0	0	0
13754	197.22	16	0	0	1	0	0	1	0	1
6461	261.16	16	4	0	1	0	1	0	0	1
4356	664.77	15	12	0	1	1	0	0	0	0
11139	73.60	14	13	0	1	0	1	0	0	1
12570	688.51	12	8	0	0	0	1	0	0	0
13176	284.90	9	19	0	1	0	1	0	0	0
26486	213.68	12	10	0	1	0	0	0	1	0
24432	593.54	14	27	0	0	0	0	0	1	0
2312	515.62	12	8	0	1	1	0	0	0	0
4558	474.83	12	6	0	1	1	0	0	0	0
1584	741.41	14	14	0	0	1	0	0	0	0
9228	712.25	10	20	0	1	0	1	0	0	0
7704	592.59	12	10	1	1	0	1	0	0	0
4008	427.35	12	12	0	0	1	0	0	0	0
19191	185.19	9	13	0	0	0	0	1	0	0
14915	712.25	13	26	0	1	0	0	1	0	0
24659	392.82	15	14	0	0	0	0	0	1	1
9071	182.72	12	2	0	0	0	1	0	0	0
20158	1333.33	13	27	0	1	0	0	1	0	0
21324	165.43	14	10	0	1	0	0	1	0	0
11635	308.64	9	8	0	1	0	1	0	0	0
23193	735.99	15	17	0	1	0	0	0	1	0
25543	830.96	12	39	0	1	0	0	0	1	0
8250	712.25	12	31	0	1	0	1	0	0	0
13250	106.84	12	1	0	0	0	1	0	0	1
20216	256.17	7	41	0	1	0	0	1	0	0
14371	997.15	15	33	0	1	0	0	1	0	0
7213	225.55	12	27	1	1	0	1	0	0	0
25731	1068.38	12	15	1	1	0	0	0	1	0
21911	691.36	13	4	0	0	0	0	1	0	0
21842	426.16	12	8	0	0	0	0	1	0	0
10477	664.77	11	32	1	1	0	1	0	0	0
14927	617.28	10	15	1	0	0	0	1	0	0
9428	767.08	16	22	0	1	0	1	0	0	0
8528	474.83	12	8	0	1	0	1	0	0	0
7392	712.25	15	15	1	1	0	1	0	0	0
7561	709.88	12	16	0	0	0	1	0	0	0
16494	356.05	12	22	1	0	0	0	1	0	0
11662	82.30	12	4	1	1	0	1	0	0	1
26601	237.42	16	7	0	1	0	0	0	1	0
10473	949.67	16	43	0	1	0	1	0	0	0
1620	493.83	14	0	0	0	1	0	0	0	0
2342	735.99	14	17	1	0	1	0	0	0	0
24303	973.41	12	28	0	1	0	0	0	1	0
27990	498.58	16	4	0	1	0	0	0	1	0
15201	308.64	7	48	0	1	0	0	1	0	0
15489	961.54	18	28	0	1	0	0	1	0	0
4471	462.96	12	13	0	1	1	0	0	0	0
6957	830.96	18	10	0	1	0	1	0	0	0
18888	1115.86	18	27	1	1	0	0	1	0	0
15542	393.40	7	48	0	0	0	0	1	0	0
7739	465.80	18	0	0	1	0	1	0	0	0
13279	261.16	16	6	0	1	0	1	0	0	0
20335	416.67	11	9	0	1	0	0	1	0	0
22094	892.92	12	45	0	1	0	0	0	1	0
2560	757.36	12	43	0	1	1	0	0	0	0
8140	118.71	15	4	0	1	0	1	0	0	1
17461	171.47	7	55	0	1	0	0	1	0	1
19835	213.27	12	25	1	0	0	0	1	0	0
5853	973.41	8	43	0	1	1	0	0	0	0
19433	453.51	12	12	0	0	0	0	1	0	0
13405	771.60	14	30	0	1	0	0	1	0	0
25082	1092.12	18	27	0	1	0	0	0	1	0
10760	661.38	12	2	0	0	0	1	0	0	0
4585	626.52	13	22	0	1	1	0	0	0	0
7768	1139.28	12	36	0	1	0	1	0	0	0
20662	432.10	13	9	0	1	0	0	1	0	0
24013	890.31	16	23	0	1	0	0	0	1	0
6067	284.90	16	5	0	1	1	0	0	0	0
13773	1424.50	18	19	0	1	0	0	1	0	0
20945	2374.15	18	12	0	1	0	0	1	0	0
5820	830.96	12	15	0	1	1	0	0	0	0
25842	569.80	12	26	0	1	0	0	0	1	0
2373	807.22	18	17	0	1	1	0	0	0	0
4874	356.13	15	4	0	1	1	0	0	0	0
1154	712.25	17	45	0	1	1	0	0	0	0
22597	296.77	8	32	0	0	0	0	0	1	0
1846	617.28	14	6	0	1	1	0	0	0	0
20396	361.34	16	8	0	0	0	0	1	0	0
14845	759.73	8	45	0	0	0	0	1	0	0
5176	1020.89	18	6	0	1	1	0	0	0	0
331	233.99	12	1	0	1	1	0	0	0	0
6805	973.41	14	26	0	1	0	1	0	0	0
9835	1139.60	18	9	0	1	0	1	0	0	0
7037	1471.98	18	27	0	1	0	1	0	0	0
12703	96.23	13	2	0	1	0	1	0	0	1
24807	2207.98	17	25	0	1	0	0	0	1	0
22131	712.25	15	16	0	0	0	0	0	1	0
21038	379.87	9	12	0	1	0	0	1	0	0
10362	617.28	15	40	0	1	0	1	0	0	0
9227	664.77	12	9	0	1	0	1	0	0	0
15155	290.49	10	4	0	1	0	0	1	0	1
6201	593.54	12	12	0	0	1	0	0	0	0
26912	1103.99	13	13	0	1	0	0	0	1	0
1389	933.71	17	8	0	1	1	0	0	0	0
3050	593.54	12	40	0	1	1	0	0	0	0
6436	303.70	12	42	0	1	1	0	0	0	1
10130	364.67	12	5	0	0	0	1	0	0	0
15836	215.06	12	22	0	0	0	0	1	0	0
25973	979.60	18	9	0	1	0	0	0	1	0
24064	878.44	16	15	0	0	0	0	0	1	0
1997	664.77	18	13	1	1	1	0	0	0	0
8462	949.67	12	7	0	1	0	1	0	0	0
5523	498.58	12	31	0	1	1	0	0	0	0
4810	949.67	12	28	0	1	1	0	0	0	0
22293	189.93	13	22	0	0	0	0	0	1	0
7884	783.48	14	26	0	1	0	1	0	0	0
16450	902.18	16	20	0	1	0	0	1	0	0
16272	486.70	12	21	0	1	0	0	1	0	0
18880	759.73	12	42	0	1	0	0	1	0	0
4576	899.81	12	12	0	1	1	0	0	0	0
12673	546.06	12	5	0	1	0	1	0	0	0
27088	1139.60	16	7	0	1	0	0	0	1	0
23246	96.30	12	7	0	1	0	0	0	1	0
23186	712.25	16	15	0	1	0	0	0	1	0
25818	1424.50	18	27	0	1	0	0	0	1	0
10117	731.24	12	19	0	0	0	1	0	0	0
767	366.26	13	22	0	1	1	0	0	0	0
21135	123.46	17	4	0	1	0	0	1	0	0
25815	1068.38	16	26	0	1	0	0	0	1	0
13853	1689.22	18	27	0	1	0	0	1	0	0
2503	997.15	10	43	0	1	1	0	0	0	0
1311	664.77	12	17	0	1	1	0	0	0	0
25704	296.77	10	5	0	1	0	0	0	1	0
24414	534.19	11	19	0	0	0	0	0	1	0
20749	902.18	16	7	0	1	0	0	1	0	0
13710	735.99	18	10	0	1	0	0	1	0	0
18781	115.74	12	34	0	0	0	0	1	0	1
11973	664.77	18	13	0	0	0	1	0	0	0
26259	712.25	12	37	0	1	0	0	0	1	0
2436	1187.08	16	8	0	1	1	0	0	0	0
21382	189.93	12	3	0	1	0	0	1	0	0
5386	783.48	15	8	0	1	1	0	0	0	0
4194	1271.96	12	29	0	1	1	0	0	0	0
2453	434.16	8	39	0	1	1	0	0	0	0
22044	227.92	12	11	1	0	0	0	1	0	0
27783	189.93	12	37	0	1	0	0	0	1	0
8461	474.83	12	39	0	1	0	1	0	0	0
24729	854.70	12	13	0	0	0	0	0	1	0
15136	332.38	12	4	0	1	0	0	1	0	0
28140	712.25	18	24	0	0	0	0	0	1	0
27416	308.64	12	4	0	1	0	0	0	1	0
2151	569.80	12	19	0	1	1	0	0	0	0
23359	261.16	12	13	0	1	0	0	0	1	0
7462	675.93	7	42	1	1	0	1	0	0	0
900	546.06	15	2	0	1	1	0	0	0	0
2341	320.99	12	6	0	0	1	0	0	0	0
19737	712.25	10	18	0	1	0	0	1	0	0
26025	522.32	12	44	0	1	0	0	0	1	0
27735	869.81	12	16	0	0	0	0	0	1	0
2141	623.77	12	46	0	1	1	0	0	0	0
20404	237.42	13	7	0	0	0	0	1	0	0
18508	605.53	4	55	0	1	0	0	1	0	0
6146	102.88	12	47	0	0	1	0	0	0	1
7681	800.74	14	11	0	0	0	1	0	0	0
13906	385.19	18	7	0	1	0	0	1	0	1
21209	735.99	16	3	0	1	0	0	1	0	0
8038	783.48	16	9	0	1	0	1	0	0	0
7202	688.51	12	16	0	1	0	1	0	0	0
19642	370.37	12	23	0	0	0	0	1	0	0
7200	370.37	12	7	1	1	0	1	0	0	0
7397	493.83	8	33	0	1	0	1	0	0	0
26258	259.26	7	17	0	1	0	0	0	1	0
12273	411.52	18	6	0	0	0	1	0	0	0
9921	161.12	8	52	0	1	0	1	0	0	1
7774	712.25	12	30	0	1	0	1	0	0	0
11160	432.31	12	12	0	1	0	1	0	0	0
15169	427.35	12	6	0	1	0	0	1	0	0
26979	902.18	14	12	0	1	0	0	0	1	0
2739	356.13	12	30	0	1	1	0	0	0	0
23168	261.16	12	8	0	1	0	0	0	1	0
27601	474.83	12	5	0	1	0	0	0	1	0
14238	664.77	18	6	0	1	0	0	1	0	0
9507	750.42	15	14	0	1	0	1	0	0	0
25869	1187.08	12	18	0	1	0	0	0	1	0
24301	569.80	13	9	0	1	0	0	0	1	0
15322	973.41	15	35	0	1	0	0	1	0	0
5186	1495.73	14	30	0	1	1	0	0	0	0
10788	819.09	16	8	0	1	0	1	0	0	0
25630	902.18	14	14	0	1	0	0	0	1	0
23400	118.71	15	11	0	1	0	0	0	1	1
5398	588.21	12	7	0	1	1	0	0	0	0
23739	231.48	12	32	0	0	0	0	0	1	0
21587	830.96	17	4	0	1	0	0	1	0	0
17911	515.19	16	22	0	1	0	0	1	0	0
18311	759.73	12	13	0	0	0	0	1	0	0
574	510.45	15	19	0	1	1	0	0	0	0
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23627	148.15	6	11	0	0	0	0	0	1	0
10738	102.88	12	0	0	1	0	1	0	0	1
26011	86.13	12	0	0	1	0	0	0	1	1
25476	498.58	14	9	1	1	0	0	0	1	0
16563	664.77	13	32	0	1	0	0	1	0	0
17498	679.01	13	20	0	1	0	0	1	0	0
15230	274.35	12	9	0	1	0	0	1	0	0
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14623	459.94	11	16	0	0	0	0	1	0	0
16934	356.13	13	30	0	1	0	0	1	0	0
1136	1424.50	16	19	0	1	1	0	0	0	0
5437	949.67	18	27	0	1	1	0	0	0	0
16074	455.65	14	8	0	0	0	0	1	0	0
8235	85.66	13	0	1	1	0	1	0	0	1
4994	329.22	15	-1	0	1	1	0	0	0	0
3265	1329.53	15	10	0	1	1	0	0	0	0
7596	2374.15	18	30	0	0	0	1	0	0	0
7007	522.32	12	7	0	1	0	1	0	0	0
8467	949.67	11	43	0	1	0	1	0	0	0
8392	958.62	12	30	0	1	0	1	0	0	0
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16239	1266.22	16	6	0	1	0	0	1	0	0
10486	123.46	12	43	0	1	0	1	0	0	0
15378	759.73	11	20	0	1	0	0	1	0	0
17885	356.13	14	35	1	1	0	0	1	0	0
27881	854.70	12	23	0	1	0	0	0	1	0
20159	688.51	15	29	0	1	0	0	1	0	0
27692	53.83	12	1	1	1	0	0	0	1	0
9106	333.33	12	7	0	0	0	1	0	0	0
28073	1068.38	18	23	0	0	0	0	0	1	0
60	752.54	14	29	0	1	1	0	0	0	0
4789	1056.51	16	19	0	1	1	0	0	0	0
13387	522.32	14	14	0	1	0	0	1	0	0
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14256	1132.48	18	4	0	1	0	0	1	0	0
12981	1210.83	16	21	0	1	0	1	0	0	0
16651	284.90	12	2	0	1	0	0	1	0	0
22810	142.45	13	0	0	0	0	0	0	1	0
8364	740.74	12	35	0	1	0	1	0	0	0
16726	324.89	8	38	1	0	0	0	1	0	0
9722	740.74	14	9	0	1	0	1	0	0	0
7785	252.06	11	1	0	1	0	1	0	0	0
16863	875.69	12	8	0	1	0	0	1	0	0
25107	119.90	14	5	0	1	0	0	0	1	1
19709	621.31	13	17	0	0	0	0	1	0	0
12324	91.62	12	5	0	0	0	1	0	0	0
13094	498.58	18	7	0	1	0	1	0	0	0
9978	783.48	12	33	0	1	0	1	0	0	0
1159	2057.61	16	27	0	1	1	0	0	0	0
7513	759.73	12	20	0	1	0	1	0	0	0
9812	274.35	18	1	0	1	0	1	0	0	0
4450	2374.15	18	19	0	1	1	0	0	0	0
11465	451.09	12	5	0	0	0	1	0	0	0
17925	740.74	12	12	0	1	0	0	1	0	0
19460	929.84	16	23	0	1	0	0	1	0	0
17107	347.22	12	10	0	1	0	0	1	0	0
4434	498.58	12	20	1	1	1	0	0	0	0
24038	352.73	10	24	0	1	0	0	0	1	0
20519	1448.24	16	7	0	1	0	0	1	0	0
8414	451.09	16	32	0	1	0	1	0	0	0
5557	525.43	10	43	0	1	1	0	0	0	0
20308	213.68	12	11	0	1	0	0	1	0	0
8440	64.98	12	1	0	1	0	1	0	0	1
3657	689.96	12	28	0	1	1	0	0	0	0
23368	498.58	15	10	0	1	0	0	0	1	0
21611	189.93	2	12	0	1	0	0	1	0	0
8206	58.10	14	5	0	1	0	1	0	0	1
15859	474.83	12	9	0	1	0	0	1	0	0
17823	249.85	12	3	0	1	0	0	1	0	0
25377	253.24	12	1	0	0	0	0	0	1	1
13585	976.97	17	13	0	0	0	0	1	0	0
4728	51.44	16	-1	0	1	1	0	0	0	1
21943	949.67	12	13	0	1	0	0	1	0	0
10862	818.11	12	11	0	1	0	1	0	0	0
14237	157.02	14	-1	1	1	0	0	1	0	1
25532	712.25	16	6	1	1	0	0	0	1	0
8839	420.88	13	28	0	0	0	1	0	0	0
6389	528.37	11	43	0	1	1	0	0	0	0
6600	320.99	12	1	0	1	0	1	0	0	0
11135	92.59	12	2	0	0	0	1	0	0	0
9143	125.85	8	18	0	0	0	1	0	0	0
12585	451.09	16	14	0	0	0	1	0	0	0
18558	284.90	16	2	0	1	0	0	1	0	0
969	2374.15	18	16	0	1	1	0	0	0	0
4708	205.76	12	3	0	1	1	0	0	0	0
25553	284.90	10	10	0	1	0	0	0	1	0
16444	530.06	12	45	0	1	0	0	1	0	1
16616	370.37	12	16	0	1	0	0	1	0	0
27521	1975.31	18	29	0	1	0	0	0	1	0
23105	1899.34	18	17	0	1	0	0	0	1	0
20555	1020.89	14	10	0	1	0	0	1	0	0
8321	830.96	16	20	0	1	0	1	0	0	0
12740	474.83	16	7	0	1	0	1	0	0	0
3385	765.43	12	40	0	1	1	0	0	0	0
26329	370.37	16	5	0	1	0	0	0	1	0
7105	590.08	12	6	0	1	0	1	0	0	0
6895	1068.38	18	24	0	1	0	1	0	0	0
23825	565.84	18	35	0	1	0	0	0	1	1
6073	94.97	12	7	0	1	1	0	0	0	0
6855	807.22	12	22	0	1	0	1	0	0	0
9099	379.87	12	10	0	0	0	1	0	0	0
27883	2292.77	13	-1	0	1	0	0	0	1	0
25598	237.42	12	3	0	1	0	0	0	1	0
11361	971.89	12	18	0	1	0	1	0	0	0
10626	878.44	18	20	0	1	0	1	0	0	0
20621	790.12	14	12	0	1	0	0	1	0	0
24126	154.32	12	45	0	1	0	0	0	1	0
18732	231.48	12	26	0	0	0	0	1	0	0
10042	498.58	15	6	0	1	0	1	0	0	0
22182	412.77	9	11	0	1	0	0	0	1	0
144	617.28	12	20	0	0	1	0	0	0	0
15040	763.30	18	13	0	1	0	0	1	0	0
979	830.96	16	13	0	1	1	0	0	0	0
20217	783.48	16	13	0	1	0	0	1	0	0
5668	720.61	16	19	0	1	1	0	0	0	0
8097	222.22	2	35	0	1	0	1	0	0	0
15823	1424.50	16	35	0	0	0	0	1	0	0
6759	688.51	12	24	0	1	0	1	0	0	0
18376	641.03	12	7	0	1	0	0	1	0	0
17630	592.59	11	10	0	1	0	0	1	0	0
12830	527.07	18	11	0	0	0	1	0	0	0
17938	1377.02	16	24	0	1	0	0	1	0	0
20113	282.47	10	4	0	0	0	0	1	0	0
11624	427.35	12	3	0	1	0	1	0	0	1
198	189.93	12	16	0	0	1	0	0	0	0
14970	759.73	12	13	0	1	0	0	1	0	0
798	498.58	12	16	0	0	1	0	0	0	0
6083	410.73	11	12	0	1	1	0	0	0	0
6995	284.90	12	8	0	1	0	1	0	0	0
26839	899.02	12	10	0	1	0	0	0	1	0
7180	546.06	12	17	0	1	0	1	0	0	0
2799	783.48	14	19	0	1	1	0	0	0	0
18268	688.51	13	19	0	1	0	0	1	0	0
8408	405.64	13	11	0	1	0	1	0	0	0
25047	593.54	0	56	0	1	0	0	0	1	0
9563	902.18	12	30	0	1	0	1	0	0	0
6783	1519.47	16	10	0	1	0	1	0	0	0
6440	123.46	12	45	0	1	1	0	0	0	1
5808	759.73	12	37	0	1	1	0	0	0	0
691	379.87	16	13	0	0	1	0	0	0	0
24057	166.19	14	47	0	0	0	0	0	1	0
20036	830.96	18	31	0	1	0	0	1	0	0
21618	246.91	6	9	0	1	0	0	1	0	1
14484	411.52	14	39	0	1	0	0	1	0	0
4003	759.73	14	22	0	1	1	0	0	0	0
11924	396.79	12	22	0	0	0	1	0	0	0
20469	166.19	16	2	0	1	0	0	1	0	0
20933	406.33	14	11	1	1	0	0	1	0	0
15884	379.87	11	12	0	0	0	0	1	0	0
881	997.15	18	19	0	1	1	0	0	0	0
12749	207.74	10	3	0	0	0	1	0	0	0
6056	130.58	14	2	0	1	1	0	0	0	1
11703	1092.32	12	17	0	1	0	1	0	0	0
22442	365.62	12	12	0	0	0	0	0	1	0
26119	1187.08	16	12	0	1	0	0	0	1	0
13968	1187.08	18	17	0	0	0	0	1	0	0
5228	451.09	10	34	0	1	1	0	0	0	0
3270	546.06	14	3	0	1	1	0	0	0	0
5286	973.41	14	27	0	1	1	0	0	0	0
16626	415.48	11	31	0	1	0	0	1	0	0
23631	382.98	12	27	0	1	0	0	0	1	0
19078	451.09	12	18	0	0	0	0	1	0	0
25406	183.60	15	5	0	1	0	0	0	1	0
8497	379.87	13	31	0	1	0	1	0	0	0
28050	1377.02	16	32	0	1	0	0	0	1	0
11972	77.16	12	28	0	0	0	1	0	0	0
27070	680.27	12	16	0	1	0	0	0	1	0
15053	2374.15	16	22	0	1	0	0	1	0	0
19203	189.93	5	24	1	0	0	0	1	0	0
17905	284.90	10	28	0	0	0	0	1	0	0
7460	129.18	12	13	0	0	0	1	0	0	0
428	759.73	14	29	0	1	1	0	0	0	0
520	517.19	12	26	0	1	1	0	0	0	0
22986	781.10	16	11	0	0	0	0	0	1	0
17882	2393.55	7	19	0	1	0	0	1	0	1
4875	2374.15	12	26	0	1	1	0	0	0	0
16781	261.16	12	25	1	0	0	0	1	0	0
3063	830.96	12	40	0	1	1	0	0	0	0
16534	308.64	10	45	0	0	0	0	1	0	0
12408	178.60	16	0	0	0	0	1	0	0	1
20401	281.48	13	15	0	0	0	0	1	0	0
14601	641.03	16	4	0	1	0	0	1	0	0
7993	158.72	9	8	0	1	0	1	0	0	0
956	712.25	18	16	0	1	1	0	0	0	0
3889	296.30	18	19	0	1	1	0	0	0	0
22759	728.87	18	21	0	1	0	0	0	1	0
8999	132.10	11	14	1	1	0	1	0	0	0
1307	701.23	14	37	0	1	1	0	0	0	0
13591	222.22	9	24	0	0	0	0	1	0	0
7228	78.35	12	3	0	1	0	1	0	0	1
11663	332.38	10	9	0	1	0	1	0	0	0
1478	569.80	11	18	0	0	1	0	0	0	0
9668	130.58	17	-1	0	1	0	1	0	0	1
16375	891.47	12	47	0	1	0	0	1	0	0
5763	735.99	12	15	0	1	1	0	0	0	0
6188	427.35	8	48	0	1	1	0	0	0	0
21096	245.63	12	10	0	1	0	0	1	0	0
606	90.22	12	43	0	0	1	0	0	0	0
15222	546.06	12	39	0	1	0	0	1	0	0
20536	356.13	12	11	0	1	0	0	1	0	0
6113	385.09	13	13	0	1	1	0	0	0	0
23938	474.83	12	17	0	1	0	0	0	1	0
9690	1780.63	16	38	0	1	0	1	0	0	0
16173	118.71	13	10	1	1	0	0	1	0	0
12323	580.97	12	43	0	0	0	1	0	0	0
13197	494.78	18	38	0	0	0	1	0	0	0
20826	961.54	16	30	0	1	0	0	1	0	0
1011	688.51	10	16	0	1	1	0	0	0	0
1400	807.22	16	15	0	0	1	0	0	0	0
19615	712.25	7	38	0	1	0	0	1	0	0
15406	332.38	15	10	1	1	0	0	1	0	0
10918	468.09	16	18	0	1	0	1	0	0	0
24255	584.00	16	15	0	1	0	0	0	1	0
3639	427.35	13	4	0	1	1	0	0	0	0
5906	185.19	18	25	0	1	1	0	0	0	0
14914	712.25	12	10	0	1	0	0	1	0	0

Data cleaning

• Let’s check to see if the data need cleaning

Check for unusual values

summary(uswages)

##       wage              educ           exper            race      
##  Min.   :  50.39   Min.   : 0.00   Min.   :-2.00   Min.   :0.000  
##  1st Qu.: 308.64   1st Qu.:12.00   1st Qu.: 8.00   1st Qu.:0.000  
##  Median : 522.32   Median :12.00   Median :15.00   Median :0.000  
##  Mean   : 608.12   Mean   :13.11   Mean   :18.41   Mean   :0.078  
##  3rd Qu.: 783.48   3rd Qu.:16.00   3rd Qu.:27.00   3rd Qu.:0.000  
##  Max.   :7716.05   Max.   :18.00   Max.   :59.00   Max.   :1.000  
##       smsa             ne              mw               so        
##  Min.   :0.000   Min.   :0.000   Min.   :0.0000   Min.   :0.0000  
##  1st Qu.:1.000   1st Qu.:0.000   1st Qu.:0.0000   1st Qu.:0.0000  
##  Median :1.000   Median :0.000   Median :0.0000   Median :0.0000  
##  Mean   :0.756   Mean   :0.229   Mean   :0.2485   Mean   :0.3125  
##  3rd Qu.:1.000   3rd Qu.:0.000   3rd Qu.:0.0000   3rd Qu.:1.0000  
##  Max.   :1.000   Max.   :1.000   Max.   :1.0000   Max.   :1.0000  
##        we             pt        
##  Min.   :0.00   Min.   :0.0000  
##  1st Qu.:0.00   1st Qu.:0.0000  
##  Median :0.00   Median :0.0000  
##  Mean   :0.21   Mean   :0.0925  
##  3rd Qu.:0.00   3rd Qu.:0.0000  
##  Max.   :1.00   Max.   :1.0000

• exper cannot be negative
• convert negatives to NA

# we see that exper has neg. values
uswages$exper[uswages$exper <0] <-NA

Convert catagorical variables to factors

• We see that race, smsa, and pt are categorical variables
• convert to factor variables
• apply appropriate labels

# convert race, smsa, and pt to factor variables
uswages$race <- factor(uswages$race)
levels(uswages$race) <- c("White","Black")
uswages$smsa <- factor(uswages$smsa)
levels(uswages$smsa) <- c("No","Yes")
uswages$pt <- factor(uswages$pt)
levels(uswages$pt) <- c("No","Yes")

Convert a set of dummy variables to one factor

• The four regions ne, mw, so, we are dummy (or indicator or binary) variables
• create a new variable and call it region, make it a factor variable based on the four regions, give it appropriate labels

# create region, a factor variable based on the four regions ne, mw, so, we
uswages <- data.frame(uswages, region = 
                        1*uswages$ne +
                        2*uswages$mw +
                        3*uswages$so +
                        4*uswages$we)
uswages$region <- factor(uswages$region)
levels(uswages$region) <- c("ne","mw","so","we")
formattable::formattable(uswages)

	wage	educ	exper	race	smsa	ne	mw	so	we	pt	region
6085	771.60	18	18	White	Yes	1	0	0	0	No	ne
23701	617.28	15	20	White	Yes	0	0	0	1	No	we
16208	957.83	16	9	White	Yes	0	0	1	0	No	so
2720	617.28	12	24	White	Yes	1	0	0	0	No	ne
9723	902.18	14	12	White	Yes	0	1	0	0	No	mw
22239	299.15	12	33	White	Yes	0	0	0	1	No	we
14379	541.31	16	42	White	Yes	0	0	1	0	Yes	so
12878	148.39	16	0	White	Yes	0	1	0	0	Yes	mw
23121	273.19	12	36	White	Yes	0	0	0	1	Yes	we
13086	666.67	12	37	White	No	0	1	0	0	No	mw
19913	241.50	9	20	Black	Yes	0	0	1	0	Yes	so
20055	703.79	14	29	White	Yes	0	0	1	0	No	so
6076	550.81	17	16	White	No	1	0	0	0	No	ne
24050	807.22	14	21	White	Yes	0	0	0	1	Yes	we
11064	712.25	14	11	White	No	0	1	0	0	No	mw
26395	351.46	10	10	White	Yes	0	0	0	1	No	we
15576	373.24	12	8	White	No	0	0	1	0	No	so
18936	759.73	13	19	White	Yes	0	0	1	0	No	so
4747	356.13	14	6	White	Yes	1	0	0	0	No	ne
21572	308.64	16	0	White	Yes	0	0	1	0	No	so
14575	469.14	6	24	White	No	0	0	1	0	No	so
15065	617.28	16	NA	White	Yes	0	0	1	0	No	so
23270	123.46	16	1	White	Yes	0	0	0	1	Yes	we
11093	474.83	12	11	White	No	0	1	0	0	No	mw
8830	261.16	12	40	White	Yes	0	1	0	0	No	mw
9219	284.90	12	5	White	Yes	0	1	0	0	No	mw
28065	1661.92	12	15	White	Yes	0	0	0	1	No	we
1339	629.15	12	44	White	Yes	1	0	0	0	No	ne
13462	2374.15	12	35	White	Yes	0	0	1	0	No	so
10787	522.32	16	8	White	Yes	0	1	0	0	No	mw
11423	688.51	14	12	White	Yes	0	1	0	0	No	mw
15657	246.91	9	13	White	Yes	0	0	1	0	No	so
2698	949.67	5	55	Black	Yes	1	0	0	0	No	ne
14276	261.16	14	7	Black	Yes	0	0	1	0	No	so
10854	106.86	10	52	White	Yes	0	1	0	0	Yes	mw
7510	296.77	12	11	White	Yes	0	1	0	0	No	mw
26838	379.87	14	8	White	Yes	0	0	0	1	No	we
21118	634.92	9	19	White	Yes	0	0	1	0	No	so
10875	1182.03	12	45	White	Yes	0	1	0	0	No	mw
8891	740.74	12	9	White	Yes	0	1	0	0	No	mw
15487	237.42	10	12	Black	Yes	0	0	1	0	No	so
6090	144.03	12	0	White	Yes	1	0	0	0	No	ne
2293	406.96	14	11	White	No	1	0	0	0	No	ne
8794	351.61	9	10	White	No	0	1	0	0	No	mw
3544	593.54	12	10	White	Yes	1	0	0	0	No	ne
23320	273.03	14	4	White	Yes	0	0	0	1	No	we
23176	997.15	12	44	White	Yes	0	0	0	1	No	we
4938	1198.96	12	34	White	Yes	1	0	0	0	No	ne
12672	569.80	15	15	White	Yes	0	1	0	0	No	mw
8971	130.58	12	4	White	Yes	0	1	0	0	No	mw
16287	641.03	13	16	Black	Yes	0	0	1	0	No	so
15181	712.25	14	25	White	Yes	0	0	1	0	No	so
3554	1073.12	16	8	White	Yes	1	0	0	0	No	ne
26446	712.25	16	13	White	Yes	0	0	0	1	No	we
8698	261.16	12	35	White	Yes	0	1	0	0	No	mw
9899	783.48	16	4	White	Yes	0	1	0	0	No	mw
18503	197.53	12	8	Black	Yes	0	0	1	0	Yes	so
27829	720.16	12	28	Black	Yes	0	0	0	1	No	we
10616	593.54	14	18	White	Yes	0	1	0	0	No	mw
24172	1234.57	18	7	White	Yes	0	0	0	1	No	we
14806	533.87	12	9	White	No	0	0	1	0	No	so
4777	712.25	16	6	White	Yes	1	0	0	0	No	ne
9322	909.31	16	9	White	Yes	0	1	0	0	No	mw
16555	356.13	12	14	Black	Yes	0	0	1	0	No	so
26982	759.73	14	11	White	Yes	0	0	0	1	No	we
19738	382.74	8	42	White	Yes	0	0	1	0	No	so
16707	53.70	9	22	Black	Yes	0	0	1	0	Yes	so
6352	403.61	12	12	White	No	1	0	0	0	No	ne
19667	664.77	12	15	White	Yes	0	0	1	0	No	so
17679	415.48	13	21	White	Yes	0	0	1	0	No	so
17796	949.67	16	21	White	Yes	0	0	1	0	No	so
27009	664.77	12	15	White	Yes	0	0	0	1	No	we
3901	308.64	10	51	White	No	1	0	0	0	No	ne
27986	997.15	12	11	White	Yes	0	0	0	1	No	we
3303	2374.15	18	27	White	Yes	1	0	0	0	No	ne
15785	259.73	12	1	White	No	0	0	1	0	No	so
119	641.03	13	27	White	No	1	0	0	0	No	ne
11397	411.52	12	11	White	Yes	0	1	0	0	No	mw
7461	379.87	12	23	Black	Yes	0	1	0	0	No	mw
6106	231.48	16	11	White	Yes	1	0	0	0	No	ne
12956	142.45	12	4	White	No	0	1	0	0	No	mw
7371	503.70	11	6	White	No	0	1	0	0	No	mw
8854	94.59	14	4	White	Yes	0	1	0	0	Yes	mw
5540	1234.57	18	3	White	Yes	1	0	0	0	No	ne
21727	379.87	4	34	White	No	0	0	1	0	No	so
7385	391.74	12	15	White	Yes	0	1	0	0	No	mw
612	411.70	12	19	White	No	1	0	0	0	No	ne
21394	1068.38	14	31	White	Yes	0	0	1	0	No	so
9748	123.46	15	NA	White	Yes	0	1	0	0	No	mw
10401	569.80	12	37	White	Yes	0	1	0	0	No	mw
8748	94.97	13	32	White	No	0	1	0	0	Yes	mw
7702	474.83	8	46	White	Yes	0	1	0	0	No	mw
18839	379.87	12	12	White	Yes	0	0	1	0	No	so
16131	118.71	3	56	White	No	0	0	1	0	Yes	so
10609	90.22	12	1	White	No	0	1	0	0	No	mw
3648	402.17	10	8	White	Yes	1	0	0	0	No	ne
20327	1344.78	16	12	White	Yes	0	0	1	0	No	so
26747	474.83	16	27	White	Yes	0	0	0	1	No	we
24480	356.13	9	45	White	Yes	0	0	0	1	No	we
25209	197.53	12	2	White	Yes	0	0	0	1	No	we
4795	949.67	11	19	Black	Yes	1	0	0	0	No	ne
10301	531.81	18	11	White	No	0	1	0	0	Yes	mw
22061	522.32	12	16	White	No	0	0	1	0	No	so
12857	356.13	18	32	White	Yes	0	1	0	0	No	mw
24745	949.67	12	35	White	Yes	0	0	0	1	No	we
16118	902.18	18	14	White	Yes	0	0	1	0	No	so
27977	1697.72	18	12	White	No	0	0	0	1	No	we
25363	451.09	14	16	White	No	0	0	0	1	No	we
6986	830.96	16	37	White	Yes	0	1	0	0	No	mw
24174	807.22	14	16	White	Yes	0	0	0	1	No	we
26144	617.28	6	23	White	Yes	0	0	0	1	No	we
9238	271.60	13	1	White	Yes	0	1	0	0	No	mw
7572	462.99	12	10	White	No	0	1	0	0	No	mw
22024	336.70	13	17	White	Yes	0	0	1	0	No	so
20215	593.54	16	4	White	Yes	0	0	1	0	No	so
26010	189.93	8	43	White	Yes	0	0	0	1	No	we
7945	119.66	14	3	White	No	0	1	0	0	No	mw
18821	641.03	13	15	White	No	0	0	1	0	No	so
3395	76.43	13	NA	White	Yes	1	0	0	0	Yes	ne
4310	493.83	14	0	White	Yes	1	0	0	0	No	ne
22040	679.01	16	23	White	No	0	0	1	0	No	so
18395	308.64	10	10	White	Yes	0	0	1	0	No	so
26521	130.58	12	11	White	Yes	0	0	0	1	Yes	we
6305	56.79	14	0	White	No	1	0	0	0	Yes	ne
2330	1899.34	14	30	White	Yes	1	0	0	0	No	ne
27898	1316.87	12	15	White	No	0	0	0	1	No	we
2245	830.96	18	0	White	Yes	1	0	0	0	No	ne
23041	784.69	14	15	White	No	0	0	0	1	No	we
6736	1139.60	16	5	White	Yes	0	1	0	0	No	mw
27500	167.55	12	2	White	Yes	0	0	0	1	No	we
2224	712.25	12	42	White	Yes	1	0	0	0	No	ne
6712	845.20	14	13	White	Yes	0	1	0	0	No	mw
15738	315.82	12	18	White	Yes	0	0	1	0	No	so
25092	183.42	10	6	White	Yes	0	0	0	1	No	we
5494	337.08	9	43	White	Yes	1	0	0	0	No	ne
13670	493.83	11	3	White	Yes	0	0	1	0	No	so
20453	854.70	18	25	White	No	0	0	1	0	No	so
14818	885.57	12	20	White	No	0	0	1	0	No	so
24711	1033.01	18	3	White	No	0	0	0	1	No	we
4526	403.61	13	5	White	Yes	1	0	0	0	No	ne
7363	522.32	16	7	White	Yes	0	1	0	0	No	mw
18966	197.53	12	19	Black	Yes	0	0	1	0	No	so
10371	308.64	12	4	White	Yes	0	1	0	0	No	mw
22716	521.94	12	42	White	No	0	0	0	1	No	we
3094	367.74	16	8	White	Yes	1	0	0	0	No	ne
6244	236.42	12	13	White	Yes	1	0	0	0	No	ne
85	569.80	8	36	White	Yes	1	0	0	0	No	ne
10912	641.03	16	16	White	Yes	0	1	0	0	No	mw
26199	783.48	16	10	White	Yes	0	0	0	1	No	we
1514	189.93	15	NA	White	Yes	1	0	0	0	No	ne
13332	500.95	17	1	White	Yes	0	0	1	0	No	so
13016	593.54	12	12	White	Yes	0	1	0	0	No	mw
8931	154.32	13	1	White	Yes	0	1	0	0	Yes	mw
12447	721.45	8	47	White	Yes	0	1	0	0	No	mw
6079	522.32	10	24	Black	Yes	1	0	0	0	No	ne
6635	1234.57	14	21	White	Yes	0	1	0	0	No	mw
25763	123.46	16	9	White	Yes	0	0	0	1	Yes	we
18783	546.06	12	21	White	No	0	0	1	0	No	so
24442	1305.79	18	19	White	No	0	0	0	1	No	we
20029	522.32	18	12	White	Yes	0	0	1	0	No	so
16431	379.87	12	19	White	No	0	0	1	0	No	so
977	866.57	18	14	White	Yes	1	0	0	0	No	ne
4269	689.53	11	38	White	Yes	1	0	0	0	No	ne
19267	346.63	12	38	White	No	0	0	1	0	No	so
19620	379.87	13	5	White	No	0	0	1	0	No	so
15685	370.37	3	49	White	Yes	0	0	1	0	No	so
26	546.06	12	16	White	Yes	1	0	0	0	No	ne
9511	1305.79	12	18	White	Yes	0	1	0	0	No	mw
6369	498.58	12	17	White	No	1	0	0	0	No	ne
3858	241.21	12	0	White	No	1	0	0	0	No	ne
4020	195.46	12	5	Black	Yes	1	0	0	0	No	ne
17173	160.49	12	21	Black	Yes	0	0	1	0	No	so
25293	470.09	12	25	White	Yes	0	0	0	1	No	we
19611	415.48	12	40	White	No	0	0	1	0	No	so
749	830.96	12	27	White	No	1	0	0	0	No	ne
23472	668.47	14	21	White	Yes	0	0	0	1	No	we
4190	997.15	18	6	White	Yes	1	0	0	0	No	ne
24273	1111.11	18	28	White	Yes	0	0	0	1	No	we
5642	384.62	12	31	White	Yes	1	0	0	0	No	ne
1845	462.96	12	13	White	Yes	1	0	0	0	No	ne
25642	189.93	1	49	White	Yes	0	0	0	1	No	we
1776	683.76	9	46	White	Yes	1	0	0	0	No	ne
19914	61.73	12	17	Black	Yes	0	0	1	0	Yes	so
11450	664.77	16	9	White	Yes	0	1	0	0	No	mw
23203	679.01	16	7	White	Yes	0	0	0	1	No	we
26631	740.74	13	13	White	Yes	0	0	0	1	No	we
5814	617.28	12	25	White	Yes	1	0	0	0	No	ne
18808	142.45	9	46	White	No	0	0	1	0	No	so
12836	1264.13	18	36	White	Yes	0	1	0	0	No	mw
9363	830.96	12	25	White	Yes	0	1	0	0	No	mw
15041	747.86	16	12	White	Yes	0	0	1	0	No	so
21760	284.90	12	9	White	Yes	0	0	1	0	No	so
27384	1049.38	12	9	White	Yes	0	0	0	1	No	we
19119	213.68	12	2	Black	No	0	0	1	0	No	so
18296	854.70	13	38	White	No	0	0	1	0	No	so
7176	617.28	11	15	White	Yes	0	1	0	0	No	mw
5405	284.90	5	54	White	Yes	1	0	0	0	No	ne
19662	403.61	12	23	White	No	0	0	1	0	No	so
21531	498.58	12	46	White	No	0	0	1	0	No	so
22603	346.63	12	3	White	No	0	0	0	1	No	we
19901	403.61	14	12	Black	Yes	0	0	1	0	No	so
12690	249.29	12	47	Black	Yes	0	1	0	0	No	mw
7329	664.77	12	34	White	No	0	1	0	0	No	mw
7441	807.22	12	22	White	No	0	1	0	0	No	mw
1860	1412.63	18	14	White	Yes	1	0	0	0	No	ne
7539	807.22	10	27	White	No	0	1	0	0	No	mw
20745	902.18	14	16	White	Yes	0	0	1	0	No	so
9449	98.77	13	NA	White	Yes	0	1	0	0	Yes	mw
21575	474.83	10	12	White	No	0	0	1	0	No	so
2445	1020.89	13	42	White	Yes	1	0	0	0	No	ne
23322	830.96	12	16	White	Yes	0	0	0	1	No	we
14657	830.96	18	29	White	No	0	0	1	0	No	so
24374	569.80	15	21	White	No	0	0	0	1	No	we
4022	1135.80	13	33	White	Yes	1	0	0	0	No	ne
4371	379.87	16	17	White	Yes	1	0	0	0	No	ne
19006	521.60	12	27	White	Yes	0	0	1	0	No	so
26989	345.68	16	8	White	Yes	0	0	0	1	No	we
24343	593.54	14	32	White	Yes	0	0	0	1	No	we
21663	284.90	8	29	White	Yes	0	0	1	0	No	so
6648	712.25	11	42	White	Yes	0	1	0	0	No	mw
4625	593.54	16	5	White	Yes	1	0	0	0	No	ne
7080	1103.40	12	40	White	Yes	0	1	0	0	No	mw
22863	199.12	13	3	White	No	0	0	0	1	No	we
27419	142.45	12	0	White	Yes	0	0	0	1	No	we
3151	641.03	18	4	White	Yes	1	0	0	0	No	ne
18806	261.16	13	7	White	No	0	0	1	0	No	so
17443	474.83	16	4	White	Yes	0	0	1	0	No	so
17341	641.03	14	20	White	Yes	0	0	1	0	No	so
437	607.05	7	41	White	No	1	0	0	0	No	ne
14035	427.35	12	44	Black	Yes	0	0	1	0	No	so
13930	1305.79	18	11	White	Yes	0	0	1	0	No	so
20996	261.16	12	4	White	Yes	0	0	1	0	No	so
27982	629.39	12	7	White	Yes	0	0	0	1	No	we
26901	546.06	15	39	White	Yes	0	0	0	1	No	we
8849	318.14	12	22	White	No	0	1	0	0	No	mw
16676	1258.31	18	6	White	Yes	0	0	1	0	No	so
9533	664.77	12	19	White	Yes	0	1	0	0	No	mw
27663	363.25	18	12	White	No	0	0	0	1	No	we
16411	322.89	13	10	White	No	0	0	1	0	No	so
25277	597.27	13	18	White	Yes	0	0	0	1	No	we
23436	323.34	16	8	White	Yes	0	0	0	1	No	we
12980	402.85	16	8	White	Yes	0	1	0	0	No	mw
12567	522.32	12	14	White	Yes	0	1	0	0	No	mw
5373	517.57	11	24	White	Yes	1	0	0	0	No	ne
8028	664.77	8	43	White	Yes	0	1	0	0	No	mw
11852	581.67	12	28	White	Yes	0	1	0	0	No	mw
5797	493.83	16	18	White	Yes	1	0	0	0	No	ne
26552	296.30	9	8	White	Yes	0	0	0	1	No	we
16842	92.59	11	1	Black	No	0	0	1	0	Yes	so
14414	325.26	12	3	White	Yes	0	0	1	0	No	so
12109	320.51	15	1	White	Yes	0	1	0	0	No	mw
10853	197.41	12	0	White	Yes	0	1	0	0	Yes	mw
19360	226.76	10	12	Black	No	0	0	1	0	No	so
1248	1471.98	18	27	White	Yes	1	0	0	0	No	ne
8662	593.54	14	17	Black	Yes	0	1	0	0	No	mw
4606	849.50	8	18	White	Yes	1	0	0	0	No	ne
9035	403.61	14	11	White	Yes	0	1	0	0	No	mw
9600	690.77	12	17	White	Yes	0	1	0	0	No	mw
4464	296.77	12	27	Black	Yes	1	0	0	0	No	ne
20562	783.48	15	18	White	Yes	0	0	1	0	No	so
20295	232.67	12	4	Black	Yes	0	0	1	0	No	so
7684	415.48	12	11	White	No	0	1	0	0	No	mw
7260	1210.83	12	30	White	No	0	1	0	0	No	mw
2336	874.49	12	21	White	Yes	1	0	0	0	No	ne
15120	830.96	9	30	White	Yes	0	0	1	0	No	so
15092	356.13	12	11	White	Yes	0	0	1	0	No	so
24227	546.06	18	11	White	Yes	0	0	0	1	No	we
6672	1020.89	12	34	White	Yes	0	1	0	0	No	mw
12738	522.32	12	16	White	Yes	0	1	0	0	No	mw
15601	522.32	9	15	White	No	0	0	1	0	No	so
21033	712.25	12	29	White	Yes	0	0	1	0	No	so
11576	283.95	16	0	White	Yes	0	1	0	0	No	mw
21385	165.43	10	8	White	Yes	0	0	1	0	No	so
29	204.18	12	6	White	Yes	1	0	0	0	No	ne
25909	4264.87	16	16	White	Yes	0	0	0	1	No	we
15411	422.36	12	42	Black	Yes	0	0	1	0	No	so
12917	443.44	12	14	White	No	0	1	0	0	No	mw
14404	997.15	12	31	White	Yes	0	0	1	0	No	so
11365	474.83	12	15	White	Yes	0	1	0	0	No	mw
8296	717.77	16	13	White	Yes	0	1	0	0	No	mw
28018	925.93	18	16	White	Yes	0	0	0	1	No	we
14754	1187.08	18	20	White	No	0	0	1	0	No	so
3850	474.83	15	33	White	No	1	0	0	0	No	ne
4152	474.83	16	15	White	Yes	1	0	0	0	No	ne
9332	1258.31	18	16	White	Yes	0	1	0	0	No	mw
26049	237.42	12	4	White	Yes	0	0	0	1	No	we
8005	830.96	18	36	White	No	0	1	0	0	No	mw
20100	466.39	14	34	White	No	0	0	1	0	No	so
18652	154.32	18	2	White	Yes	0	0	1	0	Yes	so
5279	498.58	12	44	White	Yes	1	0	0	0	No	ne
5330	308.64	16	12	White	Yes	1	0	0	0	No	ne
7104	375.31	12	4	White	Yes	0	1	0	0	No	mw
3180	498.58	11	12	White	Yes	1	0	0	0	No	ne
9092	123.46	12	4	White	No	0	1	0	0	No	mw
779	432.10	12	6	White	No	1	0	0	0	No	ne
3433	92.59	12	7	White	Yes	1	0	0	0	Yes	ne
27388	474.83	12	5	White	Yes	0	0	0	1	No	we
14891	546.06	14	7	White	Yes	0	0	1	0	No	so
23821	246.91	12	11	White	Yes	0	0	0	1	No	we
25518	474.83	11	25	White	Yes	0	0	0	1	No	we
11203	427.35	13	12	White	No	0	1	0	0	No	mw
11297	593.54	16	10	White	No	0	1	0	0	No	mw
1598	949.67	16	28	White	Yes	1	0	0	0	No	ne
1526	540.12	12	4	White	Yes	1	0	0	0	No	ne
11462	391.74	16	3	White	No	0	1	0	0	No	mw
2882	275.96	8	39	White	Yes	1	0	0	0	No	ne
27774	347.22	14	0	White	Yes	0	0	0	1	No	we
23907	237.42	12	42	White	Yes	0	0	0	1	No	we
24169	144.75	10	6	White	Yes	0	0	0	1	No	we
14413	978.16	14	21	White	Yes	0	0	1	0	No	so
10163	444.44	13	14	White	No	0	1	0	0	No	mw
12472	186.71	18	4	White	No	0	1	0	0	Yes	mw
4195	918.38	9	16	White	Yes	1	0	0	0	No	ne
16812	305.34	12	28	White	No	0	0	1	0	No	so
19068	1099.54	11	15	Black	Yes	0	0	1	0	No	so
4182	205.76	14	1	White	Yes	1	0	0	0	No	ne
17360	1006.50	18	27	White	Yes	0	0	1	0	No	so
14462	335.48	10	5	White	Yes	0	0	1	0	No	so
6216	949.67	12	23	White	Yes	1	0	0	0	No	ne
2304	427.35	12	2	White	Yes	1	0	0	0	No	ne
8453	1590.69	16	11	White	Yes	0	1	0	0	No	mw
24281	356.13	16	5	White	Yes	0	0	0	1	No	we
26636	194.68	12	3	White	Yes	0	0	0	1	Yes	we
27901	1077.44	13	23	White	No	0	0	0	1	No	we
16165	332.38	12	4	White	Yes	0	0	1	0	No	so
17141	546.06	13	14	White	Yes	0	0	1	0	No	so
1647	522.32	12	38	White	No	1	0	0	0	No	ne
24284	1039.89	13	34	White	Yes	0	0	0	1	No	we
3190	1780.63	14	33	White	Yes	1	0	0	0	No	ne
12938	434.43	12	19	White	Yes	0	1	0	0	No	mw
24346	760.78	16	20	White	Yes	0	0	0	1	No	we
235	1187.08	16	19	White	Yes	1	0	0	0	No	ne
16899	819.09	11	13	White	Yes	0	0	1	0	No	so
15546	284.90	12	7	White	No	0	0	1	0	No	so
25398	498.58	13	9	White	Yes	0	0	0	1	No	we
23289	1187.08	11	35	White	Yes	0	0	0	1	No	we
15909	474.83	12	33	White	Yes	0	0	1	0	No	so
14036	451.09	12	32	Black	Yes	0	0	1	0	No	so
6151	949.67	16	13	White	Yes	1	0	0	0	No	ne
18163	1042.52	16	22	White	Yes	0	0	1	0	No	so
18669	92.59	8	11	White	Yes	0	0	1	0	No	so
8707	949.67	14	7	White	Yes	0	1	0	0	No	mw
14308	474.83	16	9	White	Yes	0	0	1	0	No	so
27271	403.61	17	26	White	Yes	0	0	0	1	No	we
27392	569.80	14	7	White	Yes	0	0	0	1	No	we
22670	451.09	11	9	White	No	0	0	0	1	No	we
3113	830.96	14	12	White	Yes	1	0	0	0	No	ne
16188	297.42	12	3	White	Yes	0	0	1	0	No	so
26129	118.71	11	6	White	Yes	0	0	0	1	Yes	we
2567	271.60	9	37	White	Yes	1	0	0	0	No	ne
9537	878.44	16	1	White	Yes	0	1	0	0	No	mw
21330	462.96	12	4	White	Yes	0	0	1	0	No	so
670	462.96	11	4	White	Yes	1	0	0	0	No	ne
13060	534.19	8	48	White	No	0	1	0	0	No	mw
4542	356.13	12	6	White	Yes	1	0	0	0	No	ne
17364	155.27	12	7	White	Yes	0	0	1	0	No	so
15992	534.19	12	10	White	Yes	0	0	1	0	No	so
17619	854.70	14	19	White	Yes	0	0	1	0	No	so
8683	830.96	16	7	White	Yes	0	1	0	0	No	mw
21652	949.67	18	5	White	Yes	0	0	1	0	No	so
5130	641.03	12	9	White	Yes	1	0	0	0	No	ne
26158	835.45	10	41	White	Yes	0	0	0	1	No	we
10083	308.64	13	3	White	No	0	1	0	0	No	mw
13333	712.25	13	11	White	Yes	0	0	1	0	No	so
28027	812.32	12	17	White	No	0	0	0	1	No	we
5320	555.56	12	5	Black	Yes	1	0	0	0	No	ne
19603	2374.15	12	5	Black	No	0	0	1	0	No	so
19834	61.73	13	0	White	No	0	0	1	0	Yes	so
16099	664.77	12	19	White	No	0	0	1	0	No	so
19056	474.83	17	2	White	Yes	0	0	1	0	No	so
11956	668.85	10	48	White	No	0	1	0	0	Yes	mw
20004	470.37	12	25	Black	Yes	0	0	1	0	No	so
20846	189.93	16	0	White	Yes	0	0	1	0	Yes	so
17260	237.42	3	39	White	Yes	0	0	1	0	No	so
7710	830.96	12	27	White	Yes	0	1	0	0	No	mw
6956	180.44	15	NA	White	Yes	0	1	0	0	No	mw
23236	397.81	13	2	White	Yes	0	0	0	1	No	we
26071	617.28	16	45	White	Yes	0	0	0	1	Yes	we
4543	474.83	10	24	White	Yes	1	0	0	0	No	ne
4591	1234.57	13	23	White	Yes	1	0	0	0	No	ne
4759	1733.14	16	26	White	Yes	1	0	0	0	No	ne
1549	593.54	12	9	White	Yes	1	0	0	0	No	ne
22000	379.87	7	29	White	Yes	0	0	1	0	No	so
23393	498.58	12	13	White	Yes	0	0	0	1	No	we
171	653.59	16	36	White	No	1	0	0	0	No	ne
17677	712.25	14	27	White	Yes	0	0	1	0	No	so
8175	344.25	6	15	White	Yes	0	1	0	0	No	mw
5714	883.71	12	22	White	Yes	1	0	0	0	No	ne
5838	356.13	16	9	White	Yes	1	0	0	0	No	ne
2772	451.09	12	37	White	Yes	1	0	0	0	No	ne
20542	506.49	12	11	White	Yes	0	0	1	0	No	so
20024	1092.12	18	3	White	Yes	0	0	1	0	No	so
10115	522.32	11	12	White	No	0	1	0	0	No	mw
20508	474.83	18	18	White	Yes	0	0	1	0	No	so
13129	231.48	12	8	White	No	0	1	0	0	No	mw
21674	470.09	16	9	White	No	0	0	1	0	No	so
8006	56.98	14	0	White	No	0	1	0	0	Yes	mw
993	181.28	18	37	White	Yes	1	0	0	0	Yes	ne
22765	1080.25	16	3	White	No	0	0	0	1	No	we
17040	474.83	12	10	White	Yes	0	0	1	0	No	so
1624	189.93	13	1	White	No	1	0	0	0	No	ne
8468	514.40	12	42	White	Yes	0	1	0	0	No	mw
24052	370.37	12	22	Black	Yes	0	0	0	1	No	we
7686	496.11	12	13	White	No	0	1	0	0	No	mw
23789	345.68	12	8	White	Yes	0	0	0	1	No	we
201	451.09	12	3	White	No	1	0	0	0	No	ne
9268	878.44	16	16	Black	Yes	0	1	0	0	No	mw
11083	227.92	12	15	White	No	0	1	0	0	No	mw
12213	188.46	16	28	White	No	0	1	0	0	No	mw
7889	1020.89	13	21	White	No	0	1	0	0	No	mw
21422	284.90	12	5	White	Yes	0	0	1	0	No	so
4243	391.74	12	43	White	Yes	1	0	0	0	No	ne
2285	854.70	14	34	White	Yes	1	0	0	0	No	ne
18466	688.51	12	20	White	No	0	0	1	0	No	so
5088	854.70	12	28	White	Yes	1	0	0	0	No	ne
828	277.78	12	36	White	Yes	1	0	0	0	No	ne
11936	593.54	12	17	White	No	0	1	0	0	No	mw
9602	514.40	12	36	White	Yes	0	1	0	0	No	mw
9655	1497.13	16	23	White	Yes	0	1	0	0	No	mw
26927	902.18	18	7	White	Yes	0	0	0	1	No	we
23395	532.56	12	13	White	Yes	0	0	0	1	No	we
18750	252.53	9	15	White	No	0	0	1	0	No	so
13826	296.77	7	37	Black	Yes	0	0	1	0	No	so
14532	408.36	11	16	Black	Yes	0	0	1	0	No	so
4219	498.58	14	24	White	Yes	1	0	0	0	No	ne
27787	892.59	13	0	White	No	0	0	0	1	No	we
4042	403.61	13	14	White	No	1	0	0	0	No	ne
5758	408.73	12	4	White	Yes	1	0	0	0	No	ne
23716	2374.15	17	23	White	No	0	0	0	1	No	we
25294	668.23	12	17	White	Yes	0	0	0	1	No	we
22710	354.94	12	16	White	No	0	0	0	1	No	we
4014	78.56	14	0	White	No	1	0	0	0	Yes	ne
25636	493.83	12	10	White	Yes	0	0	0	1	No	we
24920	455.84	12	23	White	Yes	0	0	0	1	No	we
4078	389.36	12	6	White	No	1	0	0	0	No	ne
2241	474.43	12	13	White	Yes	1	0	0	0	No	ne
24463	474.83	12	13	White	No	0	0	0	1	No	we
392	522.32	12	5	White	Yes	1	0	0	0	No	ne
24992	353.75	15	14	White	Yes	0	0	0	1	No	we
27585	308.64	16	0	White	Yes	0	0	0	1	No	we
22703	783.48	12	12	White	No	0	0	0	1	No	we
13041	254.04	13	12	White	Yes	0	1	0	0	No	mw
6449	90.22	18	44	Black	Yes	0	1	0	0	Yes	mw
18076	121.91	12	7	Black	No	0	0	1	0	No	so
21619	759.73	17	18	White	Yes	0	0	1	0	No	so
13842	1220.77	14	38	White	Yes	0	0	1	0	No	so
1547	246.91	4	36	White	Yes	1	0	0	0	No	ne
22126	712.25	13	7	White	No	0	0	0	1	No	we
1983	987.65	17	4	White	Yes	1	0	0	0	Yes	ne
25674	356.13	4	28	White	Yes	0	0	0	1	No	we
25309	664.77	14	33	White	No	0	0	0	1	No	we
355	451.09	12	7	White	No	1	0	0	0	No	ne
9316	313.63	14	17	White	Yes	0	1	0	0	No	mw
9675	386.99	12	18	White	Yes	0	1	0	0	No	mw
1682	356.13	15	15	White	Yes	1	0	0	0	No	ne
18010	149.00	13	1	White	Yes	0	0	1	0	No	so
8730	474.83	14	7	White	Yes	0	1	0	0	No	mw
20754	617.28	16	3	White	Yes	0	0	1	0	No	so
12845	188.27	15	31	White	No	0	1	0	0	Yes	mw
6952	664.77	14	26	White	Yes	0	1	0	0	No	mw
937	735.99	12	18	White	Yes	1	0	0	0	No	ne
1482	498.58	14	4	White	Yes	1	0	0	0	No	ne
9096	557.12	12	12	White	No	0	1	0	0	No	mw
2266	506.49	15	4	White	Yes	1	0	0	0	No	ne
1182	308.64	12	3	White	Yes	1	0	0	0	No	ne
24810	411.52	16	4	White	Yes	0	0	0	1	No	we
25028	688.51	12	25	White	No	0	0	0	1	No	we
10005	782.38	9	36	White	Yes	0	1	0	0	No	mw
3788	439.22	10	24	White	No	1	0	0	0	No	ne
11284	388.01	13	5	White	Yes	0	1	0	0	Yes	mw
27779	664.77	14	9	White	Yes	0	0	0	1	No	we
22031	216.05	12	6	White	Yes	0	0	1	0	No	so
4379	1068.38	16	13	Black	Yes	1	0	0	0	No	ne
6393	759.73	10	48	White	Yes	1	0	0	0	No	ne
21310	295.22	12	2	White	Yes	0	0	1	0	No	so
391	522.32	12	8	White	Yes	1	0	0	0	No	ne
6733	949.67	16	40	White	Yes	0	1	0	0	No	mw
24776	807.22	12	26	White	Yes	0	0	0	1	No	we
10469	830.96	12	14	White	Yes	0	1	0	0	No	mw
21100	498.58	12	23	White	Yes	0	0	1	0	No	so
17462	604.69	18	24	White	Yes	0	0	1	0	No	so
25981	804.84	5	21	White	Yes	0	0	0	1	No	we
12633	121.08	13	NA	White	Yes	0	1	0	0	Yes	mw
20805	142.45	6	11	White	Yes	0	0	1	0	No	so
17528	349.79	12	48	White	Yes	0	0	1	0	No	so
15354	335.10	12	0	White	Yes	0	0	1	0	No	so
7267	949.67	13	31	White	Yes	0	1	0	0	No	mw
21730	427.35	14	23	White	Yes	0	0	1	0	No	so
4154	1424.50	17	26	White	Yes	1	0	0	0	No	ne
16185	641.03	16	13	White	Yes	0	0	1	0	No	so
27997	1282.05	12	43	White	Yes	0	0	0	1	No	we
4503	522.32	12	3	White	Yes	1	0	0	0	No	ne
22990	569.80	14	36	White	No	0	0	0	1	No	we
23230	664.77	13	30	White	Yes	0	0	0	1	No	we
23223	1246.44	12	28	White	Yes	0	0	0	1	No	we
27372	251.42	11	10	White	Yes	0	0	0	1	No	we
25070	630.03	18	16	White	No	0	0	0	1	No	we
24817	1140.74	16	13	White	Yes	0	0	0	1	No	we
6292	232.39	11	13	White	No	1	0	0	0	No	ne
3511	351.38	12	14	White	Yes	1	0	0	0	No	ne
26433	1092.12	13	15	White	Yes	0	0	0	1	No	we
10573	712.25	12	21	White	Yes	0	1	0	0	No	mw
25431	1115.86	18	14	White	Yes	0	0	0	1	No	we
18221	617.28	12	39	White	Yes	0	0	1	0	No	so
3392	1187.08	16	35	White	Yes	1	0	0	0	No	ne
4819	796.30	12	22	White	Yes	1	0	0	0	No	ne
12238	902.18	13	20	White	Yes	0	1	0	0	No	mw
1864	1519.47	18	16	White	Yes	1	0	0	0	No	ne
13939	712.25	12	9	Black	Yes	0	0	1	0	No	so
26985	795.35	16	10	White	Yes	0	0	0	1	No	we
24710	973.41	14	20	White	No	0	0	0	1	No	we
18275	664.77	8	38	White	No	0	0	1	0	No	so
6444	284.90	18	5	White	Yes	0	1	0	0	No	mw
19086	712.25	12	35	White	No	0	0	1	0	No	so
10520	1068.38	12	30	White	No	0	1	0	0	No	mw
12518	981.32	15	36	White	No	0	1	0	0	No	mw
362	757.58	12	15	White	No	1	0	0	0	Yes	ne
19537	949.67	13	10	White	Yes	0	0	1	0	No	so
9036	213.68	12	33	White	Yes	0	1	0	0	No	mw
15206	284.90	14	4	White	Yes	0	0	1	0	No	so
5917	284.90	16	16	White	Yes	1	0	0	0	No	ne
3979	830.96	12	16	White	Yes	1	0	0	0	No	ne
11549	395.69	13	9	Black	Yes	0	1	0	0	No	mw
5686	185.19	10	11	White	Yes	1	0	0	0	No	ne
12777	641.03	16	37	White	No	0	1	0	0	No	mw
16041	2184.24	16	23	White	Yes	0	0	1	0	No	so
8536	807.22	12	46	White	Yes	0	1	0	0	No	mw
27672	830.96	18	20	White	No	0	0	0	1	No	we
22134	617.28	12	32	White	No	0	0	0	1	No	we
8624	830.96	13	22	White	Yes	0	1	0	0	No	mw
24088	290.93	4	32	White	No	0	0	0	1	No	we
6841	1044.63	18	7	White	Yes	0	1	0	0	No	mw
9243	537.51	16	11	White	Yes	0	1	0	0	No	mw
5580	165.43	13	5	White	Yes	1	0	0	0	No	ne
23010	712.25	10	36	White	No	0	0	0	1	No	we
18633	687.83	13	36	White	Yes	0	0	1	0	No	so
15607	332.38	12	41	Black	No	0	0	1	0	No	so
4561	522.32	16	3	White	Yes	1	0	0	0	No	ne
6591	164.81	4	58	Black	Yes	0	1	0	0	Yes	mw
13600	498.58	13	6	White	Yes	0	0	1	0	No	so
18178	1025.64	12	20	White	Yes	0	0	1	0	No	so
22169	453.99	12	16	White	No	0	0	0	1	No	we
10302	255.34	16	8	White	Yes	0	1	0	0	No	mw
5910	617.28	12	6	White	Yes	1	0	0	0	No	ne
12072	320.99	16	8	White	Yes	0	1	0	0	No	mw
25390	1068.38	17	31	White	Yes	0	0	0	1	No	we
20639	1234.57	16	18	White	Yes	0	0	1	0	No	so
2539	854.70	12	45	White	Yes	1	0	0	0	No	ne
19276	489.16	16	39	Black	No	0	0	1	0	No	so
16584	709.62	10	30	White	Yes	0	0	1	0	No	so
12807	854.70	12	33	White	No	0	1	0	0	No	mw
11779	783.48	12	22	White	No	0	1	0	0	No	mw
5377	288.07	14	48	White	Yes	1	0	0	0	No	ne
17696	498.58	14	5	White	Yes	0	0	1	0	No	so
12283	2374.15	16	25	White	No	0	1	0	0	No	mw
20946	2374.15	18	13	White	Yes	0	0	1	0	No	so
27550	764.48	13	14	White	Yes	0	0	0	1	No	we
891	735.99	16	7	White	Yes	1	0	0	0	No	ne
22302	282.92	16	7	White	No	0	0	0	1	No	we
6469	712.25	10	38	White	Yes	0	1	0	0	No	mw
20650	1424.50	16	31	White	Yes	0	0	1	0	No	so
5432	1068.38	14	50	White	Yes	1	0	0	0	No	ne
21675	997.15	12	16	White	Yes	0	0	1	0	No	so
12272	123.46	14	NA	White	No	0	1	0	0	Yes	mw
5208	332.38	14	11	White	Yes	1	0	0	0	No	ne
25787	676.64	12	19	White	Yes	0	0	0	1	No	we
13525	641.03	12	22	White	No	0	0	1	0	No	so
17410	664.77	12	20	Black	Yes	0	0	1	0	No	so
4896	1543.21	16	14	White	Yes	1	0	0	0	No	ne
27431	411.52	12	6	White	Yes	0	0	0	1	No	we
22824	264.55	14	3	White	No	0	0	0	1	No	we
9162	949.67	13	23	White	Yes	0	1	0	0	No	mw
16790	498.58	12	29	White	Yes	0	0	1	0	No	so
7155	381.43	16	4	White	Yes	0	1	0	0	Yes	mw
17014	2374.15	16	21	White	Yes	0	0	1	0	No	so
22772	399.29	16	4	White	No	0	0	0	1	No	we
2679	593.54	14	18	White	Yes	1	0	0	0	No	ne
2546	712.25	18	13	White	Yes	1	0	0	0	No	ne
26588	65.43	17	NA	White	Yes	0	0	0	1	Yes	we
4984	997.15	12	17	White	Yes	1	0	0	0	No	ne
1283	759.73	12	7	White	Yes	1	0	0	0	No	ne
17843	441.05	12	38	White	Yes	0	0	1	0	No	so
17217	1780.63	11	39	White	Yes	0	0	1	0	No	so
1988	949.67	18	36	White	Yes	1	0	0	0	No	ne
13874	295.31	10	47	Black	Yes	0	0	1	0	No	so
15215	179.63	12	1	White	Yes	0	0	1	0	No	so
11260	1424.50	14	27	White	Yes	0	1	0	0	No	mw
8132	935.92	16	30	White	Yes	0	1	0	0	No	mw
11771	759.73	12	29	White	No	0	1	0	0	No	mw
26084	712.25	12	21	White	Yes	0	0	0	1	No	we
4117	664.77	12	24	White	Yes	1	0	0	0	No	ne
18111	1471.98	17	16	White	Yes	0	0	1	0	No	so
2605	250.47	6	48	White	Yes	1	0	0	0	No	ne
8124	356.13	8	10	White	Yes	0	1	0	0	No	mw
21680	740.74	9	46	White	Yes	0	0	1	0	No	so
10428	835.00	16	18	White	Yes	0	1	0	0	No	mw
12372	422.10	12	6	White	No	0	1	0	0	No	mw
13320	795.35	14	8	White	Yes	0	0	1	0	No	so
19369	735.99	12	21	White	Yes	0	0	1	0	No	so
8030	522.32	18	31	White	Yes	0	1	0	0	No	mw
8185	674.26	16	9	White	Yes	0	1	0	0	No	mw
782	619.66	16	15	White	No	1	0	0	0	No	ne
13141	356.13	12	3	White	Yes	0	1	0	0	No	mw
12197	474.83	12	11	White	Yes	0	1	0	0	No	mw
26109	617.28	18	17	White	Yes	0	0	0	1	No	we
9013	546.06	12	29	White	No	0	1	0	0	No	mw
6857	747.86	16	7	White	Yes	0	1	0	0	No	mw
10531	712.25	9	29	White	No	0	1	0	0	No	mw
17615	997.15	18	11	White	Yes	0	0	1	0	No	so
12577	284.90	18	3	White	No	0	1	0	0	No	mw
12398	130.58	18	38	White	No	0	1	0	0	No	mw
86	555.56	12	26	White	No	1	0	0	0	No	ne
10506	308.64	13	20	White	No	0	1	0	0	Yes	mw
9160	842.10	14	17	White	Yes	0	1	0	0	No	mw
22008	1151.47	13	20	White	Yes	0	0	1	0	No	so
751	854.70	12	8	White	No	1	0	0	0	No	ne
16550	712.25	16	6	White	Yes	0	0	1	0	No	so
3080	135.03	12	4	White	Yes	1	0	0	0	Yes	ne
16814	444.44	12	17	White	No	0	0	1	0	No	so
8609	657.64	12	10	White	Yes	0	1	0	0	No	mw
17225	845.68	12	28	White	Yes	0	0	1	0	No	so
21549	973.41	16	18	White	Yes	0	0	1	0	No	so
27207	1187.08	16	19	White	Yes	0	0	0	1	No	we
17525	830.96	13	18	White	Yes	0	0	1	0	No	so
5053	593.54	12	21	White	Yes	1	0	0	0	No	ne
26993	2160.49	14	27	White	Yes	0	0	0	1	No	we
24829	949.67	14	15	White	Yes	0	0	0	1	No	we
17140	522.32	17	10	White	Yes	0	0	1	0	No	so
11982	329.30	13	33	White	No	0	1	0	0	No	mw
12686	1020.89	16	20	White	Yes	0	1	0	0	No	mw
26278	474.83	18	6	White	Yes	0	0	0	1	No	we
12305	664.77	13	32	White	Yes	0	1	0	0	No	mw
857	359.26	12	11	White	Yes	1	0	0	0	No	ne
12616	610.16	12	25	White	Yes	0	1	0	0	No	mw
13261	230.29	14	25	White	No	0	1	0	0	Yes	mw
21486	427.35	13	13	White	Yes	0	0	1	0	No	so
4368	830.96	16	8	White	Yes	1	0	0	0	No	ne
20446	329.22	12	8	White	No	0	0	1	0	No	so
27302	806.27	12	26	White	Yes	0	0	0	1	No	we
1245	377.91	16	23	White	Yes	1	0	0	0	No	ne
15916	284.90	10	12	Black	Yes	0	0	1	0	No	so
3126	339.51	15	2	White	Yes	1	0	0	0	No	ne
15688	142.11	15	44	White	No	0	0	1	0	Yes	so
3708	569.80	8	38	White	Yes	1	0	0	0	No	ne
2051	156.89	13	NA	White	Yes	1	0	0	0	Yes	ne
2072	776.09	14	11	White	Yes	1	0	0	0	No	ne
1705	1044.63	18	28	White	Yes	1	0	0	0	No	ne
14146	688.51	11	26	Black	Yes	0	0	1	0	No	so
27869	2374.15	16	20	White	Yes	0	0	0	1	No	we
18362	195.47	16	0	White	No	0	0	1	0	No	so
2441	123.46	10	7	White	Yes	1	0	0	0	Yes	ne
21405	308.64	14	17	White	Yes	0	0	1	0	No	so
10368	593.54	13	26	White	Yes	0	1	0	0	No	mw
7124	641.03	12	34	White	Yes	0	1	0	0	No	mw
13645	356.13	17	4	White	Yes	0	0	1	0	Yes	so
1490	356.13	16	3	White	Yes	1	0	0	0	Yes	ne
19722	443.97	9	26	White	No	0	0	1	0	No	so
11724	474.83	12	14	White	No	0	1	0	0	No	mw
3362	308.64	8	24	Black	Yes	1	0	0	0	No	ne
3848	353.75	8	24	White	Yes	1	0	0	0	No	ne
14835	676.07	7	43	White	Yes	0	0	1	0	No	so
15059	438.40	14	10	White	Yes	0	0	1	0	No	so
19104	902.18	14	23	White	Yes	0	0	1	0	No	so
23928	498.58	12	26	White	Yes	0	0	0	1	No	we
13553	1044.63	12	15	White	No	0	0	1	0	No	so
23369	299.15	16	11	White	Yes	0	0	0	1	No	we
5962	712.25	18	5	White	Yes	1	0	0	0	No	ne
22821	165.43	12	5	White	No	0	0	0	1	No	we
4793	108.02	9	3	Black	Yes	1	0	0	0	Yes	ne
22879	176.92	13	18	White	No	0	0	0	1	No	we
13471	949.67	16	25	White	Yes	0	0	1	0	No	so
1118	1661.92	18	18	White	Yes	1	0	0	0	No	ne
13270	667.14	17	11	White	No	0	1	0	0	No	mw
6505	1068.38	17	18	White	Yes	0	1	0	0	No	mw
20883	1329.53	18	13	White	Yes	0	0	1	0	No	so
21889	152.09	12	11	White	No	0	0	1	0	No	so
10694	783.48	18	10	White	No	0	1	0	0	No	mw
14490	885.38	18	28	White	Yes	0	0	1	0	No	so
25995	847.25	9	27	White	Yes	0	0	0	1	No	we
2407	617.28	10	44	White	Yes	1	0	0	0	No	ne
275	308.95	13	33	White	Yes	1	0	0	0	No	ne
24439	159.10	0	27	White	No	0	0	0	1	No	we
14288	1377.02	18	32	White	Yes	0	0	1	0	No	so
10976	878.44	12	42	White	Yes	0	1	0	0	No	mw
3935	246.91	13	37	White	Yes	1	0	0	0	Yes	ne
5869	1068.38	16	20	White	Yes	1	0	0	0	No	ne
14380	257.00	17	NA	White	Yes	0	0	1	0	Yes	so
8474	997.15	12	20	White	Yes	0	1	0	0	No	mw
1135	346.63	15	10	White	Yes	1	0	0	0	No	ne
10753	699.26	12	37	White	No	0	1	0	0	No	mw
27788	973.41	15	14	White	No	0	0	0	1	No	we
3778	274.35	12	0	White	Yes	1	0	0	0	No	ne
10585	1187.08	18	32	White	Yes	0	1	0	0	No	mw
26303	189.93	0	54	White	Yes	0	0	0	1	No	we
14613	222.22	10	13	Black	No	0	0	1	0	No	so
13264	452.97	12	10	White	Yes	0	1	0	0	No	mw
10109	878.44	12	21	Black	Yes	0	1	0	0	No	mw
10767	712.25	18	4	White	No	0	1	0	0	No	mw
15017	625.66	16	14	Black	Yes	0	0	1	0	No	so
8343	593.54	14	22	Black	Yes	0	1	0	0	No	mw
20684	557.93	14	6	White	Yes	0	0	1	0	No	so
12750	341.17	12	9	White	No	0	1	0	0	No	mw
26135	854.70	12	25	White	Yes	0	0	0	1	No	we
1883	712.25	15	39	White	Yes	1	0	0	0	No	ne
28116	272.11	10	19	White	Yes	0	0	0	1	No	we
21342	783.48	12	40	Black	Yes	0	0	1	0	No	so
16363	418.80	18	26	White	No	0	0	1	0	No	so
22543	370.37	13	23	White	Yes	0	0	0	1	No	we
19378	308.64	12	24	Black	No	0	0	1	0	No	so
17761	664.77	12	13	White	Yes	0	0	1	0	No	so
21769	237.42	11	18	Black	No	0	0	1	0	No	so
7960	245.27	12	45	White	Yes	0	1	0	0	Yes	mw
15030	347.22	14	35	White	Yes	0	0	1	0	No	so
11516	586.42	12	12	White	Yes	0	1	0	0	No	mw
10255	195.47	12	12	White	Yes	0	1	0	0	No	mw
6768	973.41	12	34	White	Yes	0	1	0	0	No	mw
1878	197.53	13	16	Black	Yes	1	0	0	0	No	ne
4619	493.83	14	3	White	Yes	1	0	0	0	No	ne
4689	593.54	16	3	White	Yes	1	0	0	0	No	ne
24983	944.28	12	20	White	Yes	0	0	0	1	No	we
10646	902.18	16	18	White	No	0	1	0	0	No	mw
2437	474.83	12	10	White	Yes	1	0	0	0	No	ne
5139	237.42	12	16	White	Yes	1	0	0	0	No	ne
4211	481.96	18	24	White	Yes	1	0	0	0	No	ne
1833	688.51	16	9	White	Yes	1	0	0	0	No	ne
27609	123.46	12	8	White	Yes	0	0	0	1	No	we
10755	403.61	12	4	White	Yes	0	1	0	0	No	mw
24501	474.83	9	14	White	Yes	0	0	0	1	No	we
19486	474.83	12	37	White	No	0	0	1	0	No	so
26088	2314.81	18	29	White	Yes	0	0	0	1	No	we
24909	586.42	12	11	White	Yes	0	0	0	1	No	we
27652	427.35	13	29	White	Yes	0	0	0	1	No	we
13088	238.68	16	NA	White	Yes	0	1	0	0	No	mw
5364	949.67	17	12	White	Yes	1	0	0	0	No	ne
25797	1661.92	18	39	White	Yes	0	0	0	1	No	we
19686	284.90	12	14	White	No	0	0	1	0	No	so
17074	688.51	15	15	White	Yes	0	0	1	0	No	so
1931	284.90	12	8	White	Yes	1	0	0	0	No	ne
6800	522.32	14	17	White	Yes	0	1	0	0	No	mw
7809	370.37	2	41	White	Yes	0	1	0	0	No	mw
1903	231.48	12	46	White	Yes	1	0	0	0	No	ne
11266	469.14	12	36	White	Yes	0	1	0	0	No	mw
21287	379.87	12	43	White	Yes	0	0	1	0	No	so
2865	1579.10	18	23	White	Yes	1	0	0	0	No	ne
16485	593.54	12	15	White	No	0	0	1	0	No	so
4632	2374.15	18	8	White	Yes	1	0	0	0	No	ne
8466	783.48	8	44	White	Yes	0	1	0	0	No	mw
24076	962.96	12	31	White	No	0	0	0	1	No	we
3682	246.91	10	11	White	Yes	1	0	0	0	No	ne
20652	522.32	12	28	Black	Yes	0	0	1	0	No	so
21289	300.59	18	7	White	Yes	0	0	1	0	No	so
19005	356.13	11	33	White	Yes	0	0	1	0	No	so
12246	770.09	16	28	White	Yes	0	1	0	0	No	mw
5803	241.66	12	15	White	Yes	1	0	0	0	No	ne
17891	1187.08	18	9	White	Yes	0	0	1	0	No	so
6642	867.59	13	19	White	Yes	0	1	0	0	No	mw
5727	277.62	18	33	White	Yes	1	0	0	0	Yes	ne
1010	274.69	17	7	White	Yes	1	0	0	0	No	ne
1668	949.67	16	24	White	Yes	1	0	0	0	No	ne
13253	65.10	18	30	White	Yes	0	1	0	0	Yes	mw
7186	451.09	12	13	White	Yes	0	1	0	0	No	mw
4851	427.99	12	9	White	Yes	1	0	0	0	No	ne
4997	771.60	16	45	White	Yes	1	0	0	0	Yes	ne
2736	830.96	15	11	White	Yes	1	0	0	0	No	ne
17852	461.35	12	12	White	Yes	0	0	1	0	No	so
7410	664.77	12	21	White	No	0	1	0	0	No	mw
9981	211.59	11	9	White	No	0	1	0	0	No	mw
14260	617.28	17	3	White	Yes	0	0	1	0	No	so
27790	1529.79	14	46	White	No	0	0	0	1	No	we
18845	973.41	12	31	White	Yes	0	0	1	0	No	so
20729	546.06	16	35	White	Yes	0	0	1	0	No	so
10230	2018.04	16	35	White	Yes	0	1	0	0	No	mw
23398	332.38	14	12	White	Yes	0	0	0	1	No	we
9504	1115.86	12	6	White	Yes	0	1	0	0	No	mw
6345	54.61	13	0	White	No	1	0	0	0	Yes	ne
8915	712.25	18	17	White	Yes	0	1	0	0	No	mw
26785	1163.34	14	30	White	Yes	0	0	0	1	No	we
865	462.96	12	30	White	Yes	1	0	0	0	No	ne
21435	106.08	14	0	White	No	0	0	1	0	Yes	so
1465	118.71	16	6	White	Yes	1	0	0	0	No	ne
9075	593.40	12	23	White	Yes	0	1	0	0	No	mw
4648	474.83	12	0	White	Yes	1	0	0	0	No	ne
10175	206.87	12	10	White	No	0	1	0	0	No	mw
15238	548.88	14	32	White	Yes	0	0	1	0	No	so
19938	202.78	12	1	White	Yes	0	0	1	0	No	so
23754	1329.53	18	9	White	Yes	0	0	0	1	No	we
11240	284.90	12	3	White	No	0	1	0	0	No	mw
4756	561.17	12	3	White	Yes	1	0	0	0	No	ne
12401	174.90	14	0	White	No	0	1	0	0	Yes	mw
3703	427.35	15	3	Black	Yes	1	0	0	0	No	ne
4826	1210.83	18	13	White	Yes	1	0	0	0	No	ne
17551	712.25	16	18	White	Yes	0	0	1	0	No	so
15572	308.64	9	45	White	No	0	0	1	0	No	so
24355	165.43	12	0	White	No	0	0	0	1	No	we
11808	593.54	18	1	White	No	0	1	0	0	No	mw
5075	370.37	16	26	Black	Yes	1	0	0	0	No	ne
2344	98.77	8	40	White	Yes	1	0	0	0	No	ne
5850	824.28	15	11	White	Yes	1	0	0	0	No	ne
1807	949.67	12	38	White	No	1	0	0	0	No	ne
23667	451.09	11	23	White	No	0	0	0	1	No	we
11334	712.25	18	3	White	Yes	0	1	0	0	No	mw
4830	807.22	16	41	White	Yes	1	0	0	0	No	ne
5381	130.10	14	20	White	Yes	1	0	0	0	Yes	ne
724	379.87	12	9	White	No	1	0	0	0	No	ne
9230	1377.02	16	37	White	Yes	0	1	0	0	No	mw
16360	284.90	14	2	White	No	0	0	1	0	No	so
11586	522.32	12	14	White	Yes	0	1	0	0	No	mw
16691	462.96	12	1	White	Yes	0	0	1	0	No	so
4567	949.67	11	45	White	Yes	1	0	0	0	No	ne
20185	199.43	16	47	White	Yes	0	0	1	0	Yes	so
20763	832.72	18	25	White	Yes	0	0	1	0	No	so
25304	1746.03	12	14	White	Yes	0	0	0	1	Yes	we
21535	949.67	16	15	White	Yes	0	0	1	0	No	so
26673	641.03	13	12	White	Yes	0	0	0	1	No	we
4215	320.51	12	39	White	Yes	1	0	0	0	No	ne
19648	254.18	9	15	White	No	0	0	1	0	No	so
57	1851.85	17	14	White	Yes	1	0	0	0	No	ne
4859	712.25	18	44	White	Yes	1	0	0	0	No	ne
20919	712.25	11	36	White	Yes	0	0	1	0	No	so
3881	474.83	18	0	White	No	1	0	0	0	No	ne
25556	759.73	12	23	White	Yes	0	0	0	1	No	we
15184	949.67	9	40	White	Yes	0	0	1	0	No	so
6386	266.17	12	4	White	No	1	0	0	0	No	ne
21195	270.06	16	2	White	Yes	0	0	1	0	No	so
23319	154.32	11	10	White	Yes	0	0	0	1	No	we
9787	591.14	14	11	White	Yes	0	1	0	0	No	mw
2351	759.73	12	42	White	No	1	0	0	0	No	ne
18638	687.56	15	46	White	Yes	0	0	1	0	No	so
15652	451.09	15	4	White	No	0	0	1	0	No	so
22147	221.50	12	6	White	No	0	0	0	1	No	we
27057	807.22	16	3	White	Yes	0	0	0	1	No	we
8986	522.32	16	15	White	Yes	0	1	0	0	No	mw
19971	1115.86	15	18	Black	Yes	0	0	1	0	No	so
20607	593.54	13	24	White	Yes	0	0	1	0	No	so
1316	61.73	12	47	White	Yes	1	0	0	0	Yes	ne
23267	1424.50	16	7	White	Yes	0	0	0	1	No	we
10663	379.87	13	5	White	Yes	0	1	0	0	No	mw
16218	697.80	12	33	White	Yes	0	0	1	0	No	so
20229	2374.15	12	23	White	Yes	0	0	1	0	No	so
2980	617.28	9	33	White	Yes	1	0	0	0	No	ne
16540	712.25	14	10	White	Yes	0	0	1	0	No	so
25709	712.25	12	21	Black	Yes	0	0	0	1	No	we
25315	226.27	16	37	White	Yes	0	0	0	1	Yes	we
16351	244.44	12	2	White	No	0	0	1	0	No	so
17754	645.77	14	39	Black	Yes	0	0	1	0	Yes	so
10618	284.90	12	7	White	No	0	1	0	0	No	mw
14996	379.87	12	6	White	Yes	0	0	1	0	No	so
1856	474.83	16	34	White	Yes	1	0	0	0	No	ne
12158	498.58	12	15	White	Yes	0	1	0	0	No	mw
5524	474.83	12	26	White	Yes	1	0	0	0	No	ne
19303	712.25	16	9	Black	No	0	0	1	0	No	so
11000	664.77	12	36	White	Yes	0	1	0	0	No	mw
22737	569.80	12	33	White	No	0	0	0	1	No	we
13526	99.72	12	47	White	No	0	0	1	0	Yes	so
4718	586.42	9	21	White	Yes	1	0	0	0	No	ne
13954	712.25	12	38	White	No	0	0	1	0	No	so
26899	474.83	12	7	White	Yes	0	0	0	1	No	we
295	363.25	12	5	White	Yes	1	0	0	0	No	ne
22151	593.54	12	18	White	Yes	0	0	0	1	No	we
17934	1346.15	18	34	White	Yes	0	0	1	0	No	so
11405	712.25	13	17	White	No	0	1	0	0	No	mw
24074	142.45	16	NA	White	No	0	0	0	1	Yes	we
23501	415.48	12	11	White	Yes	0	0	0	1	No	we
21604	400.26	0	52	White	Yes	0	0	1	0	No	so
1932	522.32	16	5	White	Yes	1	0	0	0	No	ne
13103	284.90	12	2	White	Yes	0	1	0	0	No	mw
13468	569.80	16	4	White	Yes	0	0	1	0	No	so
11173	569.80	13	17	White	Yes	0	1	0	0	No	mw
11745	165.43	12	9	White	Yes	0	1	0	0	No	mw
20410	246.91	16	0	White	No	0	0	1	0	Yes	so
17719	166.19	12	17	White	Yes	0	0	1	0	No	so
20789	514.40	10	13	White	Yes	0	0	1	0	No	so
26470	391.74	14	33	White	Yes	0	0	0	1	No	we
7578	965.50	10	29	White	No	0	1	0	0	No	mw
22050	688.51	18	NA	White	Yes	0	0	1	0	No	so
9180	167.76	12	5	White	Yes	0	1	0	0	No	mw
23641	246.91	6	37	White	Yes	0	0	0	1	No	we
27256	471.88	16	10	Black	Yes	0	0	0	1	No	we
542	474.83	12	14	White	No	1	0	0	0	No	ne
19888	665.95	7	28	White	No	0	0	1	0	No	so
7454	356.13	11	32	White	No	0	1	0	0	No	mw
2370	902.18	9	40	White	Yes	1	0	0	0	No	ne
1106	356.13	12	5	White	Yes	1	0	0	0	No	ne
10556	396.49	12	14	White	Yes	0	1	0	0	No	mw
23305	237.04	13	42	White	No	0	0	0	1	No	we
6231	513.46	12	12	White	No	1	0	0	0	No	ne
5385	81.93	14	NA	White	Yes	1	0	0	0	Yes	ne
8182	1020.89	14	16	White	Yes	0	1	0	0	No	mw
22435	409.77	14	4	White	No	0	0	0	1	No	we
24403	617.28	14	28	White	No	0	0	0	1	No	we
312	546.06	14	3	White	No	1	0	0	0	No	ne
22418	404.28	12	8	White	No	0	0	0	1	No	we
3807	516.55	12	9	White	No	1	0	0	0	No	ne
16684	830.96	16	25	White	Yes	0	0	1	0	No	so
26284	403.61	13	5	White	Yes	0	0	0	1	No	we
18720	456.25	14	22	Black	Yes	0	0	1	0	No	so
25091	617.28	8	45	White	Yes	0	0	0	1	No	we
16095	284.90	16	29	White	No	0	0	1	0	No	so
26540	189.93	4	25	White	Yes	0	0	0	1	No	we
17565	664.77	14	23	White	Yes	0	0	1	0	No	so
17937	200.00	16	NA	White	Yes	0	0	1	0	No	so
19850	355.13	12	25	White	No	0	0	1	0	No	so
21117	617.28	18	22	White	Yes	0	0	1	0	No	so
6466	759.73	16	13	White	Yes	0	1	0	0	No	mw
16949	1234.57	16	18	White	Yes	0	0	1	0	No	so
8716	830.96	12	11	White	Yes	0	1	0	0	No	mw
10061	1305.79	13	22	White	No	0	1	0	0	No	mw
17652	641.98	10	23	White	Yes	0	0	1	0	No	so
4063	498.58	12	19	White	Yes	1	0	0	0	No	ne
13075	233.20	18	5	White	Yes	0	1	0	0	Yes	mw
12117	679.01	18	20	White	No	0	1	0	0	No	mw
27633	332.38	14	38	White	Yes	0	0	0	1	No	we
1021	878.44	14	27	White	Yes	1	0	0	0	No	ne
21304	664.77	16	27	Black	Yes	0	0	1	0	No	so
5552	593.54	12	27	White	Yes	1	0	0	0	No	ne
24380	629.15	14	9	White	No	0	0	0	1	No	we
15834	237.42	12	11	White	No	0	0	1	0	Yes	so
6640	1163.34	13	13	White	Yes	0	1	0	0	No	mw
4327	106.84	12	1	Black	Yes	1	0	0	0	No	ne
2037	403.61	12	35	White	Yes	1	0	0	0	No	ne
14397	664.77	16	8	White	Yes	0	0	1	0	No	so
13071	617.28	12	17	White	Yes	0	1	0	0	No	mw
27832	554.04	12	35	White	Yes	0	0	0	1	No	we
10804	593.54	8	38	White	Yes	0	1	0	0	No	mw
229	403.61	13	12	White	Yes	1	0	0	0	No	ne
10274	1234.57	13	14	White	Yes	0	1	0	0	No	mw
1124	1092.12	16	18	White	Yes	1	0	0	0	No	ne
27835	2374.15	18	33	White	Yes	0	0	0	1	No	we
8284	593.54	12	10	Black	Yes	0	1	0	0	No	mw
27926	512.46	12	14	White	No	0	0	0	1	No	we
20505	411.52	16	7	White	Yes	0	0	1	0	No	so
524	584.05	12	14	White	Yes	1	0	0	0	No	ne
24790	403.61	18	17	White	Yes	0	0	0	1	No	we
13033	237.42	14	48	White	Yes	0	1	0	0	No	mw
8600	949.67	13	15	White	Yes	0	1	0	0	No	mw
15772	177.78	11	3	White	No	0	0	1	0	No	so
24960	284.90	12	24	White	No	0	0	0	1	No	we
25261	204.18	11	9	White	No	0	0	0	1	Yes	we
25252	809.59	16	15	White	No	0	0	0	1	No	we
10148	394.11	9	42	White	Yes	0	1	0	0	No	mw
14019	569.80	10	22	Black	Yes	0	0	1	0	No	so
9990	403.61	13	8	White	Yes	0	1	0	0	No	mw
19718	216.76	12	4	White	No	0	0	1	0	No	so
22340	287.16	16	9	White	Yes	0	0	0	1	Yes	we
20767	676.64	12	11	White	Yes	0	0	1	0	No	so
21187	1187.08	17	25	White	Yes	0	0	1	0	No	so
23430	265.91	7	19	White	Yes	0	0	0	1	No	we
2520	902.18	12	38	White	Yes	1	0	0	0	No	ne
2571	641.03	10	48	Black	Yes	1	0	0	0	No	ne
341	830.96	17	9	White	Yes	1	0	0	0	No	ne
7036	617.28	12	26	White	Yes	0	1	0	0	No	mw
16861	830.96	10	39	White	Yes	0	0	1	0	No	so
4039	997.15	14	20	White	No	1	0	0	0	No	ne
27138	96.19	12	0	White	Yes	0	0	0	1	No	we
9225	491.45	14	6	White	Yes	0	1	0	0	No	mw
10484	234.31	14	6	White	Yes	0	1	0	0	Yes	mw
18832	249.29	12	10	Black	Yes	0	0	1	0	No	so
22605	1056.51	12	40	White	Yes	0	0	0	1	No	we
22413	735.99	16	10	White	No	0	0	0	1	No	we
16647	830.96	14	7	White	Yes	0	0	1	0	No	so
8744	77.78	8	52	White	No	0	1	0	0	Yes	mw
27992	1410.93	12	24	White	Yes	0	0	0	1	No	we
23204	1543.21	16	8	White	Yes	0	0	0	1	No	we
13579	676.64	16	14	White	No	0	0	1	0	No	so
4463	498.58	16	42	White	Yes	1	0	0	0	No	ne
233	484.14	12	21	White	Yes	1	0	0	0	No	ne
23128	1329.53	17	21	White	Yes	0	0	0	1	No	we
3604	957.38	12	13	White	Yes	1	0	0	0	No	ne
6491	379.87	18	11	White	Yes	0	1	0	0	No	mw
22362	282.92	12	10	White	No	0	0	0	1	No	we
16902	261.16	12	6	White	Yes	0	0	1	0	No	so
21341	903.37	18	13	White	Yes	0	0	1	0	No	so
17129	308.64	0	47	Black	Yes	0	0	1	0	No	so
16537	949.67	12	14	White	No	0	0	1	0	No	so
14200	474.83	18	10	White	Yes	0	0	1	0	No	so
11255	807.22	14	17	White	No	0	1	0	0	No	mw
16315	142.45	6	24	White	Yes	0	0	1	0	No	so
9050	364.20	12	11	White	No	0	1	0	0	No	mw
4904	94.97	8	47	White	Yes	1	0	0	0	Yes	ne
6732	474.83	13	7	White	Yes	0	1	0	0	No	mw
10476	130.58	13	0	Black	Yes	0	1	0	0	No	mw
11839	237.42	12	29	White	No	0	1	0	0	No	mw
4228	83.10	8	55	Black	Yes	1	0	0	0	Yes	ne
21463	154.32	6	43	White	Yes	0	0	1	0	Yes	so
1004	1780.63	18	23	White	Yes	1	0	0	0	No	ne
7914	473.87	12	31	White	No	0	1	0	0	No	mw
13803	52.23	14	0	Black	Yes	0	0	1	0	Yes	so
14620	1239.17	14	39	White	Yes	0	0	1	0	No	so
899	446.13	12	43	White	Yes	1	0	0	0	No	ne
1790	1175.78	18	28	White	Yes	1	0	0	0	No	ne
866	919.36	9	33	White	Yes	1	0	0	0	No	ne
8902	66.14	12	0	White	Yes	0	1	0	0	Yes	mw
6779	1187.08	16	23	White	Yes	0	1	0	0	No	mw
17602	569.80	17	19	White	Yes	0	0	1	0	No	so
25939	484.33	14	15	White	Yes	0	0	0	1	No	we
12732	246.91	12	10	White	Yes	0	1	0	0	No	mw
13466	783.48	16	15	White	Yes	0	0	1	0	No	so
13183	427.35	13	19	White	No	0	1	0	0	No	mw
6124	569.80	12	22	White	Yes	1	0	0	0	No	ne
14452	724.12	17	10	White	Yes	0	0	1	0	No	so
9202	522.32	12	16	White	No	0	1	0	0	No	mw
758	59.35	17	13	White	Yes	1	0	0	0	No	ne
6278	461.40	9	31	White	No	1	0	0	0	No	ne
8106	1092.12	12	25	Black	Yes	0	1	0	0	No	mw
25905	284.90	9	15	White	Yes	0	0	0	1	No	we
20510	356.13	16	2	White	Yes	0	0	1	0	No	so
20622	830.96	14	9	Black	Yes	0	0	1	0	No	so
22084	712.25	17	4	White	No	0	0	0	1	No	we
88	474.83	16	18	White	No	1	0	0	0	No	ne
19487	308.64	12	3	White	No	0	0	1	0	No	so
16529	308.64	12	9	Black	No	0	0	1	0	No	so
5565	569.80	12	8	White	Yes	1	0	0	0	No	ne
648	569.80	9	43	White	No	1	0	0	0	No	ne
7533	1899.34	16	7	White	No	0	1	0	0	No	mw
22736	1566.95	18	24	White	No	0	0	0	1	No	we
16265	67.34	13	37	White	Yes	0	0	1	0	No	so
5507	498.48	12	26	Black	Yes	1	0	0	0	No	ne
24903	296.30	18	10	White	Yes	0	0	0	1	Yes	we
8258	92.59	12	8	Black	Yes	0	1	0	0	No	mw
5066	284.90	12	3	White	Yes	1	0	0	0	No	ne
16029	300.66	10	3	White	No	0	0	1	0	No	so
22886	448.72	12	7	White	No	0	0	0	1	No	we
7677	754.75	12	21	White	Yes	0	1	0	0	No	mw
3875	1020.89	14	23	White	No	1	0	0	0	No	ne
22577	830.96	12	15	White	Yes	0	0	0	1	No	we
21997	129.07	12	27	White	No	0	0	1	0	Yes	so
14947	451.09	12	20	White	Yes	0	0	1	0	No	so
13054	498.58	12	19	White	Yes	0	1	0	0	No	mw
16915	143.87	12	0	White	Yes	0	0	1	0	Yes	so
27197	1424.50	16	26	White	Yes	0	0	0	1	No	we
8754	593.54	12	5	White	Yes	0	1	0	0	No	mw
16634	641.03	12	14	White	Yes	0	0	1	0	No	so
2780	5144.03	0	18	White	Yes	1	0	0	0	No	ne
7083	1068.38	12	7	White	Yes	0	1	0	0	No	mw
13673	830.96	11	39	White	Yes	0	0	1	0	No	so
27731	232.00	14	1	White	No	0	0	0	1	No	we
23922	697.70	12	12	White	Yes	0	0	0	1	No	we
6214	252.53	12	27	White	Yes	1	0	0	0	No	ne
13359	277.78	8	28	White	Yes	0	0	1	0	Yes	so
1258	546.06	12	12	White	Yes	1	0	0	0	No	ne
17159	740.74	8	38	White	Yes	0	0	1	0	No	so
4885	795.35	8	44	White	Yes	1	0	0	0	No	ne
15749	401.23	11	26	Black	No	0	0	1	0	No	so
27771	602.23	15	7	White	Yes	0	0	0	1	No	we
17241	543.21	12	11	Black	Yes	0	0	1	0	No	so
15174	522.32	16	16	White	Yes	0	0	1	0	No	so
10442	681.43	12	28	White	Yes	0	1	0	0	No	mw
24149	749.03	16	29	White	Yes	0	0	0	1	No	we
1775	830.96	14	10	White	Yes	1	0	0	0	No	ne
23691	424.79	12	22	White	No	0	0	0	1	No	we
9882	613.30	12	12	White	Yes	0	1	0	0	No	mw
13493	427.35	11	32	White	Yes	0	0	1	0	No	so
16956	421.56	12	9	White	Yes	0	0	1	0	No	so
14101	759.73	16	11	Black	Yes	0	0	1	0	No	so
27240	79.37	11	1	White	Yes	0	0	0	1	Yes	we
13121	198.05	12	4	White	Yes	0	1	0	0	No	mw
13871	569.80	12	18	Black	Yes	0	0	1	0	No	so
20582	458.55	14	11	White	Yes	0	0	1	0	Yes	so
21093	449.64	12	41	White	Yes	0	0	1	0	No	so
14791	472.59	12	25	White	No	0	0	1	0	No	so
13182	629.15	12	10	White	No	0	1	0	0	No	mw
22757	641.03	12	8	White	No	0	0	0	1	No	we
26352	181.62	11	3	White	Yes	0	0	0	1	No	we
5913	759.73	12	19	White	Yes	1	0	0	0	No	ne
7856	874.49	12	19	White	No	0	1	0	0	No	mw
14412	617.28	12	10	White	Yes	0	0	1	0	No	so
13816	508.07	18	3	White	Yes	0	0	1	0	No	so
13686	395.06	0	42	White	Yes	0	0	1	0	No	so
23115	228.30	16	10	White	Yes	0	0	0	1	No	we
9297	536.77	10	14	White	Yes	0	1	0	0	No	mw
14603	474.83	15	5	White	Yes	0	0	1	0	No	so
427	830.96	12	7	White	Yes	1	0	0	0	No	ne
4123	403.61	12	11	White	Yes	1	0	0	0	No	ne
19403	902.18	12	42	White	Yes	0	0	1	0	No	so
26635	1334.67	18	29	White	Yes	0	0	0	1	No	we
18884	498.58	12	7	White	Yes	0	0	1	0	No	so
27415	498.58	8	47	White	Yes	0	0	0	1	No	we
17634	427.35	14	28	White	Yes	0	0	1	0	No	so
19719	94.97	10	53	White	No	0	0	1	0	Yes	so
11437	1266.22	12	42	White	Yes	0	1	0	0	No	mw
9233	1004.53	14	25	White	Yes	0	1	0	0	No	mw
9853	627.36	11	21	White	Yes	0	1	0	0	No	mw
17223	384.62	12	34	White	Yes	0	0	1	0	No	so
23085	238.37	12	12	White	Yes	0	0	0	1	No	we
18763	427.35	14	39	White	No	0	0	1	0	No	so
9845	688.51	16	9	White	Yes	0	1	0	0	No	mw
18769	296.77	12	17	White	No	0	0	1	0	No	so
16259	498.58	8	29	White	Yes	0	0	1	0	No	so
5857	474.83	16	9	White	Yes	1	0	0	0	No	ne
11704	427.35	12	9	White	Yes	0	1	0	0	No	mw
6810	617.28	18	15	White	Yes	0	1	0	0	No	mw
10487	403.61	12	8	White	Yes	0	1	0	0	No	mw
8246	59.35	15	1	White	Yes	0	1	0	0	Yes	mw
17459	1234.57	16	24	White	Yes	0	0	1	0	No	so
17524	676.64	14	24	White	Yes	0	0	1	0	No	so
21497	937.32	17	21	White	No	0	0	1	0	No	so
305	338.32	13	9	White	No	1	0	0	0	No	ne
4867	2374.15	18	10	White	Yes	1	0	0	0	No	ne
19022	641.03	12	8	White	No	0	0	1	0	No	so
18831	377.93	12	9	Black	Yes	0	0	1	0	No	so
13117	308.64	13	35	White	No	0	1	0	0	No	mw
19344	275.12	10	47	White	No	0	0	1	0	No	so
2778	393.95	12	47	White	Yes	1	0	0	0	No	ne
12711	205.76	15	0	White	Yes	0	1	0	0	No	mw
2789	356.13	12	31	White	Yes	1	0	0	0	No	ne
10050	472.46	12	16	White	Yes	0	1	0	0	No	mw
20290	394.33	12	2	White	Yes	0	0	1	0	No	so
27440	328.22	12	12	White	Yes	0	0	0	1	No	we
848	388.62	18	6	White	Yes	1	0	0	0	No	ne
27534	427.35	12	5	White	No	0	0	0	1	No	we
10510	137.17	15	2	White	No	0	1	0	0	Yes	mw
21029	356.13	13	4	White	Yes	0	0	1	0	No	so
13731	61.73	18	33	White	Yes	0	0	1	0	Yes	so
14039	1068.38	18	16	White	Yes	0	0	1	0	No	so
25744	261.16	12	4	White	Yes	0	0	0	1	No	we
14115	466.62	14	26	Black	Yes	0	0	1	0	No	so
5539	427.35	18	36	White	Yes	1	0	0	0	No	ne
15133	593.54	16	6	White	Yes	0	0	1	0	No	so
10357	807.22	16	47	White	Yes	0	1	0	0	No	mw
23605	925.93	12	27	White	No	0	0	0	1	No	we
5675	759.73	14	25	White	Yes	1	0	0	0	No	ne
17861	211.64	12	22	White	Yes	0	0	1	0	No	so
23070	86.42	18	35	White	Yes	0	0	0	1	Yes	we
4694	123.46	18	NA	White	Yes	1	0	0	0	Yes	ne
25256	462.96	17	6	White	Yes	0	0	0	1	No	we
23550	142.45	3	19	White	No	0	0	0	1	No	we
5472	783.48	12	31	White	Yes	1	0	0	0	No	ne
18561	634.43	18	2	White	Yes	0	0	1	0	No	so
24528	148.15	10	8	White	Yes	0	0	0	1	No	we
19577	296.30	8	20	White	Yes	0	0	1	0	No	so
5638	169.55	15	1	White	Yes	1	0	0	0	Yes	ne
8367	2374.15	18	7	White	Yes	0	1	0	0	No	mw
16803	439.22	8	26	White	Yes	0	0	1	0	No	so
15548	200.62	12	0	White	Yes	0	0	1	0	No	so
21269	284.90	13	0	White	Yes	0	0	1	0	Yes	so
26160	166.19	13	0	White	Yes	0	0	0	1	Yes	we
11849	332.38	11	30	White	No	0	1	0	0	No	mw
25205	712.25	12	11	White	Yes	0	0	0	1	No	we
4480	712.25	12	29	White	Yes	1	0	0	0	No	ne
13509	593.54	12	19	Black	No	0	0	1	0	No	so
26206	735.99	14	19	White	Yes	0	0	0	1	No	we
18486	332.38	4	54	Black	Yes	0	0	1	0	No	so
9667	403.61	12	7	White	Yes	0	1	0	0	No	mw
17224	356.13	12	13	White	Yes	0	0	1	0	No	so
17812	759.73	12	40	White	No	0	0	1	0	No	so
11276	394.11	12	10	White	No	0	1	0	0	No	mw
20798	467.71	18	22	White	Yes	0	0	1	0	No	so
2156	669.52	16	6	White	Yes	1	0	0	0	No	ne
917	617.28	15	NA	White	Yes	1	0	0	0	No	ne
24793	925.93	12	26	White	Yes	0	0	0	1	No	we
14177	641.03	11	32	Black	Yes	0	0	1	0	No	so
21202	735.99	12	9	White	Yes	0	0	1	0	No	so
17584	220.16	13	6	White	Yes	0	0	1	0	No	so
13612	985.28	14	23	Black	Yes	0	0	1	0	No	so
9752	1068.38	18	37	White	Yes	0	1	0	0	No	mw
26361	546.06	15	10	White	Yes	0	0	0	1	No	we
4247	189.93	12	1	White	Yes	1	0	0	0	No	ne
18829	1139.60	18	12	White	Yes	0	0	1	0	No	so
14309	664.77	13	7	White	Yes	0	0	1	0	No	so
9562	1120.09	12	18	White	Yes	0	1	0	0	No	mw
23259	308.64	16	5	White	Yes	0	0	0	1	No	we
11003	759.73	12	12	White	Yes	0	1	0	0	No	mw
6148	74.07	12	0	White	Yes	1	0	0	0	No	ne
27085	474.83	12	33	White	Yes	0	0	0	1	No	we
27894	427.35	12	16	White	No	0	0	0	1	No	we
28111	1424.50	16	29	White	Yes	0	0	0	1	No	we
17940	2362.44	16	17	White	Yes	0	0	1	0	No	so
14495	641.03	12	9	White	Yes	0	0	1	0	No	so
12824	254.51	13	6	White	No	0	1	0	0	No	mw
14033	503.91	7	44	Black	Yes	0	0	1	0	No	so
6724	407.17	16	10	Black	Yes	0	1	0	0	No	mw
27095	522.32	15	4	White	Yes	0	0	0	1	Yes	we
19341	356.13	12	10	White	Yes	0	0	1	0	No	so
16008	1187.08	18	19	White	No	0	0	1	0	No	so
21941	308.64	13	1	White	No	0	0	1	0	No	so
21711	259.26	12	2	White	Yes	0	0	1	0	Yes	so
22188	277.78	16	5	White	No	0	0	0	1	No	we
20975	740.74	12	21	White	Yes	0	0	1	0	No	so
4402	641.03	16	14	White	Yes	1	0	0	0	No	ne
511	474.83	16	4	White	Yes	1	0	0	0	No	ne
7328	1139.60	12	25	White	Yes	0	1	0	0	No	mw
5694	437.24	17	5	White	Yes	1	0	0	0	No	ne
14857	191.36	9	7	White	No	0	0	1	0	No	so
14163	712.25	12	32	Black	Yes	0	0	1	0	No	so
21501	105.62	12	11	White	No	0	0	1	0	Yes	so
8459	705.13	13	21	White	Yes	0	1	0	0	No	mw
5711	1137.10	16	30	White	Yes	1	0	0	0	No	ne
21642	747.86	13	4	White	Yes	0	0	1	0	No	so
24635	284.90	14	11	White	Yes	0	0	0	1	No	we
4223	830.96	12	43	White	Yes	1	0	0	0	No	ne
12991	493.83	16	18	White	Yes	0	1	0	0	No	mw
15642	474.83	12	8	Black	No	0	0	1	0	No	so
20062	271.60	15	NA	White	Yes	0	0	1	0	Yes	so
1376	569.80	13	0	White	Yes	1	0	0	0	No	ne
9178	439.22	18	26	White	Yes	0	1	0	0	No	mw
1461	641.03	14	17	White	Yes	1	0	0	0	No	ne
71	197.53	11	1	White	Yes	1	0	0	0	No	ne
23987	166.19	10	3	White	Yes	0	0	0	1	No	we
1967	1234.57	18	32	White	Yes	1	0	0	0	No	ne
15063	617.28	10	47	White	Yes	0	0	1	0	No	so
24218	612.54	16	19	White	Yes	0	0	0	1	No	we
22093	940.74	12	33	White	Yes	0	0	0	1	No	we
23883	2374.15	16	13	White	Yes	0	0	0	1	No	we
25109	154.32	14	11	White	Yes	0	0	0	1	No	we
22889	1115.86	15	16	White	No	0	0	0	1	No	we
9548	475.02	12	7	White	Yes	0	1	0	0	No	mw
2218	1234.57	12	26	White	Yes	1	0	0	0	No	ne
9110	2207.98	16	15	White	Yes	0	1	0	0	No	mw
21479	237.42	16	0	Black	No	0	0	1	0	Yes	so
24637	189.93	13	2	White	Yes	0	0	0	1	No	we
15089	246.91	15	NA	White	Yes	0	0	1	0	Yes	so
24290	380.62	18	7	White	Yes	0	0	0	1	No	we
10247	546.06	14	6	White	Yes	0	1	0	0	No	mw
6785	807.22	18	18	White	Yes	0	1	0	0	No	mw
1332	830.96	12	7	White	Yes	1	0	0	0	No	ne
17797	315.76	12	20	White	Yes	0	0	1	0	No	so
2096	617.28	11	38	White	Yes	1	0	0	0	No	ne
19149	237.42	12	38	Black	Yes	0	0	1	0	No	so
10970	641.03	12	19	White	Yes	0	1	0	0	No	mw
21693	324.79	9	16	White	Yes	0	0	1	0	No	so
27802	524.69	14	5	White	No	0	0	0	1	No	we
23545	878.44	18	13	White	Yes	0	0	0	1	No	we
3986	1068.38	18	13	White	Yes	1	0	0	0	No	ne
25194	636.28	12	23	White	Yes	0	0	0	1	No	we
26154	296.30	15	41	White	Yes	0	0	0	1	Yes	we
21880	98.77	4	52	White	Yes	0	0	1	0	Yes	so
24774	1092.12	18	21	White	Yes	0	0	0	1	No	we
1509	73.60	16	34	White	Yes	1	0	0	0	No	ne
7476	246.91	11	17	White	No	0	1	0	0	Yes	mw
25907	197.17	3	25	White	Yes	0	0	0	1	No	we
943	593.54	11	13	White	Yes	1	0	0	0	No	ne
14196	522.32	18	11	White	Yes	0	0	1	0	No	so
20104	788.75	16	26	White	No	0	0	1	0	No	so
5883	522.32	11	46	White	Yes	1	0	0	0	No	ne
4553	522.32	12	17	White	Yes	1	0	0	0	No	ne
16505	284.90	12	16	Black	No	0	0	1	0	No	so
22238	284.90	10	9	White	No	0	0	0	1	No	we
19136	641.03	12	30	White	No	0	0	1	0	No	so
21239	416.84	12	20	White	Yes	0	0	1	0	No	so
22511	71.23	14	NA	White	No	0	0	0	1	Yes	we
17151	617.28	12	1	White	Yes	0	0	1	0	No	so
13972	415.48	14	13	White	No	0	0	1	0	No	so
14369	1305.79	18	13	White	Yes	0	0	1	0	No	so
18454	617.28	16	18	White	No	0	0	1	0	No	so
8954	308.64	11	20	White	No	0	1	0	0	Yes	mw
21783	617.28	12	47	White	No	0	0	1	0	No	so
7	284.90	8	51	White	Yes	1	0	0	0	No	ne
18363	327.52	14	5	White	No	0	0	1	0	No	so
6742	688.51	12	37	Black	Yes	0	1	0	0	No	mw
1605	1020.89	16	25	White	Yes	1	0	0	0	No	ne
3764	593.54	12	23	White	No	1	0	0	0	No	ne
4036	341.88	12	25	White	No	1	0	0	0	No	ne
26969	474.83	15	7	White	Yes	0	0	0	1	No	we
14520	902.18	18	12	White	Yes	0	0	1	0	No	so
22951	902.18	14	12	White	No	0	0	0	1	No	we
26434	617.28	14	8	White	Yes	0	0	0	1	No	we
13119	728.87	18	17	White	No	0	1	0	0	No	mw
3337	144.44	15	0	White	Yes	1	0	0	0	Yes	ne
8111	676.64	16	5	White	Yes	0	1	0	0	No	mw
24095	391.74	16	11	White	No	0	0	0	1	No	we
4173	1282.05	15	25	White	Yes	1	0	0	0	No	ne
8330	427.35	8	37	White	Yes	0	1	0	0	No	mw
8181	906.93	18	29	White	Yes	0	1	0	0	No	mw
2994	712.25	15	9	White	Yes	1	0	0	0	No	ne
27160	1661.92	18	11	White	Yes	0	0	0	1	No	we
4594	104.46	14	8	White	Yes	1	0	0	0	No	ne
13456	759.73	16	14	White	Yes	0	0	1	0	No	so
5090	427.35	12	14	White	Yes	1	0	0	0	No	ne
17863	779.73	12	31	White	Yes	0	0	1	0	No	so
9416	764.48	12	11	White	Yes	0	1	0	0	No	mw
22655	190.80	11	44	White	No	0	0	0	1	Yes	we
19246	308.64	12	31	White	No	0	0	1	0	No	so
18912	540.12	8	42	White	Yes	0	0	1	0	No	so
11886	617.28	14	3	White	Yes	0	1	0	0	No	mw
15561	919.36	12	34	White	No	0	0	1	0	No	so
14013	451.09	9	53	Black	Yes	0	0	1	0	No	so
14073	254.04	12	3	Black	Yes	0	0	1	0	No	so
2154	712.25	12	42	White	Yes	1	0	0	0	No	ne
8145	569.80	12	8	White	Yes	0	1	0	0	No	mw
11582	768.18	12	11	White	Yes	0	1	0	0	No	mw
9494	1055.89	12	24	White	Yes	0	1	0	0	No	mw
4420	854.70	12	24	White	Yes	1	0	0	0	No	ne
23504	420.88	10	11	White	Yes	0	0	0	1	No	we
2482	664.77	14	7	White	Yes	1	0	0	0	No	ne
2591	237.42	12	7	White	Yes	1	0	0	0	Yes	ne
2137	735.99	16	10	White	Yes	1	0	0	0	No	ne
13593	735.99	16	38	White	No	0	0	1	0	No	so
9501	830.96	12	43	White	Yes	0	1	0	0	No	mw
14542	759.73	10	27	Black	Yes	0	0	1	0	No	so
24730	370.37	14	17	White	Yes	0	0	0	1	No	we
23806	403.61	13	25	White	Yes	0	0	0	1	No	we
3078	118.71	13	2	White	Yes	1	0	0	0	No	ne
27191	1187.08	12	14	White	Yes	0	0	0	1	No	we
16016	569.80	7	30	White	No	0	0	1	0	No	so
9342	720.94	9	42	White	Yes	0	1	0	0	No	mw
22014	384.62	12	4	Black	Yes	0	0	1	0	No	so
18214	807.22	12	39	White	Yes	0	0	1	0	No	so
15793	123.46	12	1	Black	No	0	0	1	0	Yes	so
2834	760.45	13	26	Black	Yes	1	0	0	0	No	ne
10959	109.21	12	2	White	Yes	0	1	0	0	Yes	mw
21367	100.78	13	0	White	Yes	0	0	1	0	Yes	so
25090	288.07	12	48	White	Yes	0	0	0	1	Yes	we
12439	878.44	12	13	White	No	0	1	0	0	No	mw
9685	266.67	12	4	White	Yes	0	1	0	0	No	mw
22120	183.39	12	28	White	No	0	0	0	1	Yes	we
7198	284.90	9	19	White	Yes	0	1	0	0	No	mw
7705	320.51	13	5	White	Yes	0	1	0	0	No	mw
3615	522.32	12	40	White	Yes	1	0	0	0	No	ne
21732	216.05	13	10	White	No	0	0	1	0	No	so
14107	232.67	12	12	Black	Yes	0	0	1	0	No	so
22802	414.01	13	25	White	No	0	0	0	1	No	we
27262	664.77	13	26	White	Yes	0	0	0	1	No	we
13907	717.00	15	11	White	Yes	0	0	1	0	No	so
17631	493.83	18	19	Black	Yes	0	0	1	0	Yes	so
16178	189.93	16	NA	White	Yes	0	0	1	0	No	so
19205	411.52	12	43	White	Yes	0	0	1	0	No	so
8485	427.98	14	0	White	Yes	0	1	0	0	Yes	mw
13786	652.90	12	39	White	Yes	0	0	1	0	No	so
17301	368.00	12	39	White	Yes	0	0	1	0	No	so
22956	1187.08	18	17	White	No	0	0	0	1	No	we
22436	379.87	13	2	White	No	0	0	0	1	No	we
2595	225.13	11	7	White	Yes	1	0	0	0	No	ne
27072	641.03	16	1	White	Yes	0	0	0	1	No	we
25573	284.90	16	8	White	Yes	0	0	0	1	No	we
9806	717.77	12	4	White	Yes	0	1	0	0	No	mw
18047	154.32	13	0	White	Yes	0	0	1	0	No	so
8756	641.03	18	30	White	Yes	0	1	0	0	No	mw
15677	199.43	16	4	Black	No	0	0	1	0	No	so
19035	555.56	12	14	White	No	0	0	1	0	No	so
1718	240.55	8	15	White	No	1	0	0	0	No	ne
26233	205.76	4	28	White	Yes	0	0	0	1	No	we
21281	203.75	16	7	White	Yes	0	0	1	0	Yes	so
3391	522.32	16	9	White	Yes	1	0	0	0	No	ne
3773	797.65	12	30	White	Yes	1	0	0	0	No	ne
12681	569.80	18	24	White	Yes	0	1	0	0	No	mw
11748	498.58	13	15	White	Yes	0	1	0	0	No	mw
11556	1742.92	12	19	White	Yes	0	1	0	0	No	mw
12262	237.42	12	28	White	No	0	1	0	0	No	mw
6037	403.61	12	11	White	No	1	0	0	0	No	ne
23924	63.24	17	9	White	Yes	0	0	0	1	No	we
20769	249.29	13	2	White	Yes	0	0	1	0	No	so
7642	399.42	12	5	White	No	0	1	0	0	No	mw
25701	142.45	5	16	White	Yes	0	0	0	1	No	we
7178	128.60	15	NA	White	Yes	0	1	0	0	Yes	mw
14625	154.32	9	32	White	No	0	0	1	0	No	so
17246	1187.08	14	24	White	Yes	0	0	1	0	No	so
21676	284.90	14	14	White	Yes	0	0	1	0	Yes	so
3864	79.77	8	49	White	No	1	0	0	0	Yes	ne
18841	944.92	16	9	White	Yes	0	0	1	0	No	so
14318	498.46	18	10	White	Yes	0	0	1	0	No	so
27334	830.96	16	3	White	Yes	0	0	0	1	No	we
20419	427.35	13	13	White	No	0	0	1	0	No	so
14434	1092.12	18	19	White	Yes	0	0	1	0	No	so
20179	287.11	12	6	White	Yes	0	0	1	0	No	so
10587	1041.98	8	52	White	Yes	0	1	0	0	No	mw
27780	92.59	12	0	White	Yes	0	0	0	1	Yes	we
15667	286.42	7	57	White	Yes	0	0	1	0	No	so
25781	197.53	6	14	White	Yes	0	0	0	1	No	we
20251	830.96	13	23	White	Yes	0	0	1	0	No	so
10489	925.93	18	33	White	Yes	0	1	0	0	No	mw
18326	94.97	9	10	White	No	0	0	1	0	No	so
14780	160.49	11	2	White	Yes	0	0	1	0	No	so
12285	343.36	15	6	White	No	0	1	0	0	No	mw
17600	253.24	12	6	White	Yes	0	0	1	0	No	so
24854	367.90	9	41	White	Yes	0	0	0	1	No	we
2110	1068.38	17	15	White	Yes	1	0	0	0	No	ne
9673	593.54	12	20	White	Yes	0	1	0	0	No	mw
21219	213.68	5	10	White	Yes	0	0	1	0	No	so
4588	1044.63	12	42	White	Yes	1	0	0	0	No	ne
5927	284.90	16	2	White	Yes	1	0	0	0	Yes	ne
19307	65.65	12	11	White	No	0	0	1	0	No	so
2087	280.58	13	1	White	Yes	1	0	0	0	No	ne
13984	50.39	18	6	White	Yes	0	0	1	0	Yes	so
18130	712.25	14	21	White	Yes	0	0	1	0	No	so
13959	498.58	12	13	White	No	0	0	1	0	No	so
9222	296.30	18	10	White	Yes	0	1	0	0	No	mw
8306	712.25	13	31	Black	Yes	0	1	0	0	No	mw
24297	216.05	15	0	White	Yes	0	0	0	1	No	we
10288	1150.39	11	45	White	Yes	0	1	0	0	No	mw
5189	593.54	16	41	White	Yes	1	0	0	0	No	ne
18627	237.42	10	15	White	Yes	0	0	1	0	No	so
21163	997.15	10	37	White	Yes	0	0	1	0	No	so
6209	68.59	14	1	White	Yes	1	0	0	0	No	ne
2444	261.16	16	1	White	Yes	1	0	0	0	Yes	ne
20119	166.19	18	25	White	Yes	0	0	1	0	No	so
5069	498.58	11	43	Black	Yes	1	0	0	0	No	ne
8948	77.16	14	0	White	Yes	0	1	0	0	Yes	mw
16015	301.52	10	35	White	No	0	0	1	0	No	so
16476	569.80	12	13	White	No	0	0	1	0	No	so
23109	474.83	16	25	White	Yes	0	0	0	1	No	we
6547	536.56	12	18	White	Yes	0	1	0	0	No	mw
3862	427.35	12	12	White	No	1	0	0	0	No	ne
14168	192.04	12	1	Black	Yes	0	0	1	0	No	so
25221	1780.63	18	21	White	Yes	0	0	0	1	No	we
15502	256.79	12	21	Black	Yes	0	0	1	0	No	so
7141	356.13	12	16	White	Yes	0	1	0	0	No	mw
5856	246.91	12	11	White	Yes	1	0	0	0	No	ne
7131	1251.89	12	38	White	Yes	0	1	0	0	No	mw
27933	1187.08	15	19	White	No	0	0	0	1	No	we
10562	488.19	12	24	White	No	0	1	0	0	No	mw
26253	1543.21	17	36	White	Yes	0	0	0	1	No	we
26332	148.15	17	2	White	Yes	0	0	0	1	Yes	we
21933	84.28	8	25	White	Yes	0	0	1	0	Yes	so
17499	284.90	7	50	White	Yes	0	0	1	0	No	so
24317	589.21	11	23	White	Yes	0	0	0	1	No	we
22313	730.58	12	31	White	No	0	0	0	1	No	we
12650	1661.92	18	17	White	Yes	0	1	0	0	No	mw
26028	1032.76	13	23	White	Yes	0	0	0	1	No	we
8318	1139.60	18	16	White	Yes	0	1	0	0	No	mw
18973	795.35	15	27	White	Yes	0	0	1	0	No	so
25168	2374.15	18	19	White	Yes	0	0	0	1	No	we
24473	427.35	12	3	White	Yes	0	0	0	1	No	we
812	666.67	18	4	White	Yes	1	0	0	0	No	ne
17310	308.64	14	7	White	Yes	0	0	1	0	No	so
26991	493.83	5	40	White	Yes	0	0	0	1	No	we
8221	104.30	4	36	White	Yes	0	1	0	0	No	mw
27179	949.67	16	9	White	Yes	0	0	0	1	No	we
19467	591.93	12	40	White	Yes	0	0	1	0	No	so
4204	444.44	12	14	White	Yes	1	0	0	0	No	ne
24917	759.73	12	33	White	Yes	0	0	0	1	No	we
17062	237.42	17	12	White	Yes	0	0	1	0	No	so
16309	356.13	13	1	Black	Yes	0	0	1	0	No	so
98	949.67	17	17	White	No	1	0	0	0	No	ne
23486	474.83	12	18	White	Yes	0	0	0	1	No	we
18194	567.71	12	12	White	Yes	0	0	1	0	No	so
22096	546.06	12	16	White	Yes	0	0	0	1	No	we
24400	152.51	13	NA	White	No	0	0	0	1	No	we
10298	740.74	18	13	White	Yes	0	1	0	0	No	mw
5256	1899.34	16	23	White	Yes	1	0	0	0	No	ne
1468	246.91	18	4	White	Yes	1	0	0	0	Yes	ne
673	543.54	12	11	White	Yes	1	0	0	0	No	ne
16779	1044.63	13	35	White	No	0	0	1	0	No	so
26189	370.37	12	12	White	Yes	0	0	0	1	No	we
2377	338.90	8	12	White	Yes	1	0	0	0	No	ne
10713	83.10	16	3	White	No	0	1	0	0	Yes	mw
23562	735.99	12	16	Black	Yes	0	0	0	1	No	we
27174	112.35	15	2	White	Yes	0	0	0	1	Yes	we
15463	1474.03	18	33	White	Yes	0	0	1	0	No	so
7447	220.46	12	1	White	No	0	1	0	0	No	mw
1521	759.73	14	24	White	Yes	1	0	0	0	No	ne
7171	67.02	12	5	White	Yes	0	1	0	0	No	mw
3319	949.67	13	26	White	Yes	1	0	0	0	No	ne
20402	356.13	10	30	Black	No	0	0	1	0	No	so
9573	1020.89	16	16	Black	Yes	0	1	0	0	No	mw
22483	404.04	16	7	White	Yes	0	0	0	1	Yes	we
27691	126.61	13	7	Black	Yes	0	0	0	1	No	we
20066	832.62	18	19	White	Yes	0	0	1	0	No	so
25371	617.28	12	45	White	Yes	0	0	0	1	No	we
13974	712.25	15	12	White	No	0	0	1	0	No	so
4476	712.25	12	16	White	Yes	1	0	0	0	No	ne
25653	92.59	11	1	White	Yes	0	0	0	1	No	we
399	973.41	18	23	White	Yes	1	0	0	0	No	ne
18263	432.10	12	25	Black	Yes	0	0	1	0	No	so
9296	987.65	16	5	White	Yes	0	1	0	0	No	mw
7459	177.78	12	14	White	No	0	1	0	0	No	mw
6445	617.28	12	23	White	Yes	0	1	0	0	No	mw
7205	237.42	14	33	White	Yes	0	1	0	0	No	mw
2471	493.83	15	8	White	Yes	1	0	0	0	No	ne
27313	284.90	11	7	White	Yes	0	0	0	1	No	we
9571	451.09	12	12	White	Yes	0	1	0	0	No	mw
24065	349.79	15	46	White	No	0	0	0	1	No	we
19167	353.21	15	9	White	No	0	0	1	0	No	so
16155	1780.63	15	22	White	Yes	0	0	1	0	No	so
10024	498.58	12	7	White	Yes	0	1	0	0	No	mw
4102	664.77	12	37	White	Yes	1	0	0	0	No	ne
24613	237.42	10	10	White	Yes	0	0	0	1	No	we
25918	1187.08	14	32	Black	Yes	0	0	0	1	No	we
19751	284.90	7	35	White	No	0	0	1	0	No	so
11020	474.83	14	18	White	No	0	1	0	0	No	mw
17827	783.48	14	39	White	Yes	0	0	1	0	No	so
6280	629.15	16	11	White	Yes	1	0	0	0	No	ne
21001	213.99	12	1	White	Yes	0	0	1	0	Yes	so
19717	389.08	12	8	White	No	0	0	1	0	No	so
24532	284.59	13	13	Black	Yes	0	0	0	1	No	we
11355	503.21	12	16	White	No	0	1	0	0	No	mw
320	1187.08	7	33	White	Yes	1	0	0	0	No	ne
12024	142.45	12	50	White	No	0	1	0	0	Yes	mw
8670	949.67	16	25	White	Yes	0	1	0	0	No	mw
12125	333.57	18	2	White	Yes	0	1	0	0	No	mw
6100	251.40	12	6	White	No	1	0	0	0	No	ne
21763	189.93	12	12	Black	Yes	0	0	1	0	No	so
6629	493.83	14	17	White	Yes	0	1	0	0	No	mw
22980	830.96	14	17	White	No	0	0	0	1	No	we
20838	959.88	16	5	White	Yes	0	0	1	0	No	so
9593	807.22	16	3	White	Yes	0	1	0	0	No	mw
14629	759.73	12	13	White	No	0	0	1	0	No	so
13561	474.83	12	23	White	No	0	0	1	0	No	so
9652	1020.89	11	29	White	Yes	0	1	0	0	No	mw
20475	498.58	16	2	White	Yes	0	0	1	0	No	so
18264	356.13	14	9	White	Yes	0	0	1	0	No	so
11986	61.73	17	NA	White	No	0	1	0	0	Yes	mw
21935	160.18	6	20	White	Yes	0	0	1	0	No	so
18113	493.83	12	3	White	Yes	0	0	1	0	No	so
15231	1305.79	16	45	White	Yes	0	0	1	0	No	so
19527	830.96	13	32	White	Yes	0	0	1	0	No	so
21739	527.07	14	14	White	Yes	0	0	1	0	No	so
25608	220.80	10	11	White	Yes	0	0	0	1	No	we
14730	712.25	11	27	White	No	0	0	1	0	No	so
10660	955.79	15	22	White	Yes	0	1	0	0	No	mw
20645	686.04	12	7	White	Yes	0	0	1	0	No	so
1458	688.51	12	20	White	Yes	1	0	0	0	No	ne
24202	436.85	16	26	White	Yes	0	0	0	1	No	we
14588	664.77	10	9	White	No	0	0	1	0	No	so
23876	1780.63	18	5	White	Yes	0	0	0	1	No	we
19952	356.13	14	5	Black	Yes	0	0	1	0	No	so
27292	664.77	16	6	White	Yes	0	0	0	1	No	we
26983	569.80	6	19	White	Yes	0	0	0	1	No	we
12194	391.74	16	11	White	Yes	0	1	0	0	No	mw
14299	284.90	12	8	White	Yes	0	0	1	0	No	so
12484	71.23	13	28	White	No	0	1	0	0	No	mw
17037	1139.60	18	11	White	Yes	0	0	1	0	No	so
21548	194.44	1	16	White	No	0	0	1	0	No	so
11594	522.32	12	25	White	Yes	0	1	0	0	No	mw
16865	451.09	17	5	White	No	0	0	1	0	No	so
5724	293.40	12	5	White	Yes	1	0	0	0	No	ne
27355	237.42	12	4	White	Yes	0	0	0	1	No	we
27405	617.28	12	12	White	Yes	0	0	0	1	No	we
17785	563.77	12	42	White	Yes	0	0	1	0	No	so
7767	522.32	15	5	White	Yes	0	1	0	0	No	mw
19310	581.67	14	13	White	No	0	0	1	0	No	so
25267	546.06	9	28	White	No	0	0	0	1	No	we
11341	593.54	12	37	White	No	0	1	0	0	No	mw
4120	522.32	11	45	Black	Yes	1	0	0	0	No	ne
22185	1234.57	18	15	White	No	0	0	0	1	No	we
7985	130.41	12	38	White	No	0	1	0	0	No	mw
24268	1139.60	14	34	White	Yes	0	0	0	1	No	we
25557	284.90	12	27	Black	Yes	0	0	0	1	No	we
10403	735.99	16	12	White	Yes	0	1	0	0	No	mw
14931	356.13	12	12	White	No	0	0	1	0	No	so
22043	985.28	14	44	White	No	0	0	1	0	No	so
9195	790.36	12	30	White	No	0	1	0	0	No	mw
16216	830.96	10	34	White	Yes	0	0	1	0	No	so
3794	356.13	15	9	White	Yes	1	0	0	0	No	ne
19868	372.84	4	24	Black	No	0	0	1	0	No	so
2525	403.61	12	10	White	Yes	1	0	0	0	No	ne
25196	227.02	15	0	White	Yes	0	0	0	1	Yes	we
14153	108.02	13	0	Black	Yes	0	0	1	0	Yes	so
7651	284.90	16	0	White	No	0	1	0	0	Yes	mw
21436	356.13	0	54	White	Yes	0	0	1	0	No	so
16342	403.61	14	13	Black	Yes	0	0	1	0	No	so
18093	911.68	14	10	White	Yes	0	0	1	0	No	so
26388	617.28	12	8	White	Yes	0	0	0	1	No	we
13844	1384.57	18	21	White	Yes	0	0	1	0	No	so
25053	593.54	14	19	White	No	0	0	0	1	No	we
1808	712.25	13	13	White	No	1	0	0	0	No	ne
14170	460.39	16	12	White	Yes	0	0	1	0	No	so
24180	546.06	16	7	White	Yes	0	0	0	1	No	we
21971	688.51	16	6	White	Yes	0	0	1	0	No	so
27812	1187.08	15	18	White	No	0	0	0	1	No	we
22356	345.68	16	22	White	No	0	0	0	1	Yes	we
14630	123.46	11	49	White	No	0	0	1	0	Yes	so
11533	709.88	12	16	White	Yes	0	1	0	0	No	mw
15958	382.19	12	15	White	No	0	0	1	0	No	so
16512	641.03	18	32	White	Yes	0	0	1	0	No	so
12904	256.41	12	25	White	No	0	1	0	0	No	mw
11015	442.83	12	8	White	No	0	1	0	0	No	mw
14726	213.68	2	51	White	No	0	0	1	0	No	so
7859	166.19	14	18	White	No	0	1	0	0	No	mw
25389	237.42	6	28	White	Yes	0	0	0	1	No	we
10715	415.48	12	14	White	No	0	1	0	0	No	mw
12428	415.48	12	22	White	No	0	1	0	0	No	mw
3721	1092.12	16	5	White	Yes	1	0	0	0	No	ne
3538	109.19	14	NA	White	Yes	1	0	0	0	Yes	ne
10234	347.79	12	13	White	No	0	1	0	0	No	mw
15116	403.61	16	15	White	Yes	0	0	1	0	No	so
6485	451.09	12	43	White	Yes	0	1	0	0	No	mw
27447	712.25	11	31	White	Yes	0	0	0	1	No	we
8923	1377.02	18	13	White	Yes	0	1	0	0	No	mw
7098	293.21	10	31	White	Yes	0	1	0	0	No	mw
28026	427.35	13	39	White	Yes	0	0	0	1	No	we
25276	3283.95	10	10	White	Yes	0	0	0	1	Yes	we
20525	304.80	12	10	White	Yes	0	0	1	0	No	so
10735	451.09	11	14	White	Yes	0	1	0	0	No	mw
10798	380.34	11	21	White	Yes	0	1	0	0	No	mw
6253	2374.15	18	17	White	Yes	1	0	0	0	No	ne
15387	7716.05	3	59	White	Yes	0	0	1	0	Yes	so
26916	830.96	12	29	White	Yes	0	0	0	1	No	we
23146	123.46	12	42	White	Yes	0	0	0	1	Yes	we
27914	1899.34	9	36	White	Yes	0	0	0	1	No	we
13319	833.74	13	35	White	Yes	0	0	1	0	No	so
25160	370.37	12	7	White	Yes	0	0	0	1	No	we
1045	74.51	14	NA	White	Yes	1	0	0	0	Yes	ne
26246	830.96	7	26	White	Yes	0	0	0	1	No	we
26391	199.43	2	15	White	Yes	0	0	0	1	No	we
6230	324.38	12	10	White	Yes	1	0	0	0	No	ne
14420	408.36	12	5	White	Yes	0	0	1	0	No	so
6031	810.47	12	13	White	Yes	1	0	0	0	No	ne
15638	237.42	16	8	White	No	0	0	1	0	No	so
20370	733.88	12	31	White	No	0	0	1	0	No	so
19231	185.19	10	5	White	No	0	0	1	0	No	so
2264	237.42	12	13	White	Yes	1	0	0	0	No	ne
10284	118.64	15	7	White	No	0	1	0	0	Yes	mw
1664	308.64	14	9	White	Yes	1	0	0	0	No	ne
28087	1899.34	15	21	White	Yes	0	0	0	1	No	we
10141	1056.51	18	18	White	Yes	0	1	0	0	No	mw
13754	197.22	16	0	White	Yes	0	0	1	0	Yes	so
6461	261.16	16	4	White	Yes	0	1	0	0	Yes	mw
4356	664.77	15	12	White	Yes	1	0	0	0	No	ne
11139	73.60	14	13	White	Yes	0	1	0	0	Yes	mw
12570	688.51	12	8	White	No	0	1	0	0	No	mw
13176	284.90	9	19	White	Yes	0	1	0	0	No	mw
26486	213.68	12	10	White	Yes	0	0	0	1	No	we
24432	593.54	14	27	White	No	0	0	0	1	No	we
2312	515.62	12	8	White	Yes	1	0	0	0	No	ne
4558	474.83	12	6	White	Yes	1	0	0	0	No	ne
1584	741.41	14	14	White	No	1	0	0	0	No	ne
9228	712.25	10	20	White	Yes	0	1	0	0	No	mw
7704	592.59	12	10	Black	Yes	0	1	0	0	No	mw
4008	427.35	12	12	White	No	1	0	0	0	No	ne
19191	185.19	9	13	White	No	0	0	1	0	No	so
14915	712.25	13	26	White	Yes	0	0	1	0	No	so
24659	392.82	15	14	White	No	0	0	0	1	Yes	we
9071	182.72	12	2	White	No	0	1	0	0	No	mw
20158	1333.33	13	27	White	Yes	0	0	1	0	No	so
21324	165.43	14	10	White	Yes	0	0	1	0	No	so
11635	308.64	9	8	White	Yes	0	1	0	0	No	mw
23193	735.99	15	17	White	Yes	0	0	0	1	No	we
25543	830.96	12	39	White	Yes	0	0	0	1	No	we
8250	712.25	12	31	White	Yes	0	1	0	0	No	mw
13250	106.84	12	1	White	No	0	1	0	0	Yes	mw
20216	256.17	7	41	White	Yes	0	0	1	0	No	so
14371	997.15	15	33	White	Yes	0	0	1	0	No	so
7213	225.55	12	27	Black	Yes	0	1	0	0	No	mw
25731	1068.38	12	15	Black	Yes	0	0	0	1	No	we
21911	691.36	13	4	White	No	0	0	1	0	No	so
21842	426.16	12	8	White	No	0	0	1	0	No	so
10477	664.77	11	32	Black	Yes	0	1	0	0	No	mw
14927	617.28	10	15	Black	No	0	0	1	0	No	so
9428	767.08	16	22	White	Yes	0	1	0	0	No	mw
8528	474.83	12	8	White	Yes	0	1	0	0	No	mw
7392	712.25	15	15	Black	Yes	0	1	0	0	No	mw
7561	709.88	12	16	White	No	0	1	0	0	No	mw
16494	356.05	12	22	Black	No	0	0	1	0	No	so
11662	82.30	12	4	Black	Yes	0	1	0	0	Yes	mw
26601	237.42	16	7	White	Yes	0	0	0	1	No	we
10473	949.67	16	43	White	Yes	0	1	0	0	No	mw
1620	493.83	14	0	White	No	1	0	0	0	No	ne
2342	735.99	14	17	Black	No	1	0	0	0	No	ne
24303	973.41	12	28	White	Yes	0	0	0	1	No	we
27990	498.58	16	4	White	Yes	0	0	0	1	No	we
15201	308.64	7	48	White	Yes	0	0	1	0	No	so
15489	961.54	18	28	White	Yes	0	0	1	0	No	so
4471	462.96	12	13	White	Yes	1	0	0	0	No	ne
6957	830.96	18	10	White	Yes	0	1	0	0	No	mw
18888	1115.86	18	27	Black	Yes	0	0	1	0	No	so
15542	393.40	7	48	White	No	0	0	1	0	No	so
7739	465.80	18	0	White	Yes	0	1	0	0	No	mw
13279	261.16	16	6	White	Yes	0	1	0	0	No	mw
20335	416.67	11	9	White	Yes	0	0	1	0	No	so
22094	892.92	12	45	White	Yes	0	0	0	1	No	we
2560	757.36	12	43	White	Yes	1	0	0	0	No	ne
8140	118.71	15	4	White	Yes	0	1	0	0	Yes	mw
17461	171.47	7	55	White	Yes	0	0	1	0	Yes	so
19835	213.27	12	25	Black	No	0	0	1	0	No	so
5853	973.41	8	43	White	Yes	1	0	0	0	No	ne
19433	453.51	12	12	White	No	0	0	1	0	No	so
13405	771.60	14	30	White	Yes	0	0	1	0	No	so
25082	1092.12	18	27	White	Yes	0	0	0	1	No	we
10760	661.38	12	2	White	No	0	1	0	0	No	mw
4585	626.52	13	22	White	Yes	1	0	0	0	No	ne
7768	1139.28	12	36	White	Yes	0	1	0	0	No	mw
20662	432.10	13	9	White	Yes	0	0	1	0	No	so
24013	890.31	16	23	White	Yes	0	0	0	1	No	we
6067	284.90	16	5	White	Yes	1	0	0	0	No	ne
13773	1424.50	18	19	White	Yes	0	0	1	0	No	so
20945	2374.15	18	12	White	Yes	0	0	1	0	No	so
5820	830.96	12	15	White	Yes	1	0	0	0	No	ne
25842	569.80	12	26	White	Yes	0	0	0	1	No	we
2373	807.22	18	17	White	Yes	1	0	0	0	No	ne
4874	356.13	15	4	White	Yes	1	0	0	0	No	ne
1154	712.25	17	45	White	Yes	1	0	0	0	No	ne
22597	296.77	8	32	White	No	0	0	0	1	No	we
1846	617.28	14	6	White	Yes	1	0	0	0	No	ne
20396	361.34	16	8	White	No	0	0	1	0	No	so
14845	759.73	8	45	White	No	0	0	1	0	No	so
5176	1020.89	18	6	White	Yes	1	0	0	0	No	ne
331	233.99	12	1	White	Yes	1	0	0	0	No	ne
6805	973.41	14	26	White	Yes	0	1	0	0	No	mw
9835	1139.60	18	9	White	Yes	0	1	0	0	No	mw
7037	1471.98	18	27	White	Yes	0	1	0	0	No	mw
12703	96.23	13	2	White	Yes	0	1	0	0	Yes	mw
24807	2207.98	17	25	White	Yes	0	0	0	1	No	we
22131	712.25	15	16	White	No	0	0	0	1	No	we
21038	379.87	9	12	White	Yes	0	0	1	0	No	so
10362	617.28	15	40	White	Yes	0	1	0	0	No	mw
9227	664.77	12	9	White	Yes	0	1	0	0	No	mw
15155	290.49	10	4	White	Yes	0	0	1	0	Yes	so
6201	593.54	12	12	White	No	1	0	0	0	No	ne
26912	1103.99	13	13	White	Yes	0	0	0	1	No	we
1389	933.71	17	8	White	Yes	1	0	0	0	No	ne
3050	593.54	12	40	White	Yes	1	0	0	0	No	ne
6436	303.70	12	42	White	Yes	1	0	0	0	Yes	ne
10130	364.67	12	5	White	No	0	1	0	0	No	mw
15836	215.06	12	22	White	No	0	0	1	0	No	so
25973	979.60	18	9	White	Yes	0	0	0	1	No	we
24064	878.44	16	15	White	No	0	0	0	1	No	we
1997	664.77	18	13	Black	Yes	1	0	0	0	No	ne
8462	949.67	12	7	White	Yes	0	1	0	0	No	mw
5523	498.58	12	31	White	Yes	1	0	0	0	No	ne
4810	949.67	12	28	White	Yes	1	0	0	0	No	ne
22293	189.93	13	22	White	No	0	0	0	1	No	we
7884	783.48	14	26	White	Yes	0	1	0	0	No	mw
16450	902.18	16	20	White	Yes	0	0	1	0	No	so
16272	486.70	12	21	White	Yes	0	0	1	0	No	so
18880	759.73	12	42	White	Yes	0	0	1	0	No	so
4576	899.81	12	12	White	Yes	1	0	0	0	No	ne
12673	546.06	12	5	White	Yes	0	1	0	0	No	mw
27088	1139.60	16	7	White	Yes	0	0	0	1	No	we
23246	96.30	12	7	White	Yes	0	0	0	1	No	we
23186	712.25	16	15	White	Yes	0	0	0	1	No	we
25818	1424.50	18	27	White	Yes	0	0	0	1	No	we
10117	731.24	12	19	White	No	0	1	0	0	No	mw
767	366.26	13	22	White	Yes	1	0	0	0	No	ne
21135	123.46	17	4	White	Yes	0	0	1	0	No	so
25815	1068.38	16	26	White	Yes	0	0	0	1	No	we
13853	1689.22	18	27	White	Yes	0	0	1	0	No	so
2503	997.15	10	43	White	Yes	1	0	0	0	No	ne
1311	664.77	12	17	White	Yes	1	0	0	0	No	ne
25704	296.77	10	5	White	Yes	0	0	0	1	No	we
24414	534.19	11	19	White	No	0	0	0	1	No	we
20749	902.18	16	7	White	Yes	0	0	1	0	No	so
13710	735.99	18	10	White	Yes	0	0	1	0	No	so
18781	115.74	12	34	White	No	0	0	1	0	Yes	so
11973	664.77	18	13	White	No	0	1	0	0	No	mw
26259	712.25	12	37	White	Yes	0	0	0	1	No	we
2436	1187.08	16	8	White	Yes	1	0	0	0	No	ne
21382	189.93	12	3	White	Yes	0	0	1	0	No	so
5386	783.48	15	8	White	Yes	1	0	0	0	No	ne
4194	1271.96	12	29	White	Yes	1	0	0	0	No	ne
2453	434.16	8	39	White	Yes	1	0	0	0	No	ne
22044	227.92	12	11	Black	No	0	0	1	0	No	so
27783	189.93	12	37	White	Yes	0	0	0	1	No	we
8461	474.83	12	39	White	Yes	0	1	0	0	No	mw
24729	854.70	12	13	White	No	0	0	0	1	No	we
15136	332.38	12	4	White	Yes	0	0	1	0	No	so
28140	712.25	18	24	White	No	0	0	0	1	No	we
27416	308.64	12	4	White	Yes	0	0	0	1	No	we
2151	569.80	12	19	White	Yes	1	0	0	0	No	ne
23359	261.16	12	13	White	Yes	0	0	0	1	No	we
7462	675.93	7	42	Black	Yes	0	1	0	0	No	mw
900	546.06	15	2	White	Yes	1	0	0	0	No	ne
2341	320.99	12	6	White	No	1	0	0	0	No	ne
19737	712.25	10	18	White	Yes	0	0	1	0	No	so
26025	522.32	12	44	White	Yes	0	0	0	1	No	we
27735	869.81	12	16	White	No	0	0	0	1	No	we
2141	623.77	12	46	White	Yes	1	0	0	0	No	ne
20404	237.42	13	7	White	No	0	0	1	0	No	so
18508	605.53	4	55	White	Yes	0	0	1	0	No	so
6146	102.88	12	47	White	No	1	0	0	0	Yes	ne
7681	800.74	14	11	White	No	0	1	0	0	No	mw
13906	385.19	18	7	White	Yes	0	0	1	0	Yes	so
21209	735.99	16	3	White	Yes	0	0	1	0	No	so
8038	783.48	16	9	White	Yes	0	1	0	0	No	mw
7202	688.51	12	16	White	Yes	0	1	0	0	No	mw
19642	370.37	12	23	White	No	0	0	1	0	No	so
7200	370.37	12	7	Black	Yes	0	1	0	0	No	mw
7397	493.83	8	33	White	Yes	0	1	0	0	No	mw
26258	259.26	7	17	White	Yes	0	0	0	1	No	we
12273	411.52	18	6	White	No	0	1	0	0	No	mw
9921	161.12	8	52	White	Yes	0	1	0	0	Yes	mw
7774	712.25	12	30	White	Yes	0	1	0	0	No	mw
11160	432.31	12	12	White	Yes	0	1	0	0	No	mw
15169	427.35	12	6	White	Yes	0	0	1	0	No	so
26979	902.18	14	12	White	Yes	0	0	0	1	No	we
2739	356.13	12	30	White	Yes	1	0	0	0	No	ne
23168	261.16	12	8	White	Yes	0	0	0	1	No	we
27601	474.83	12	5	White	Yes	0	0	0	1	No	we
14238	664.77	18	6	White	Yes	0	0	1	0	No	so
9507	750.42	15	14	White	Yes	0	1	0	0	No	mw
25869	1187.08	12	18	White	Yes	0	0	0	1	No	we
24301	569.80	13	9	White	Yes	0	0	0	1	No	we
15322	973.41	15	35	White	Yes	0	0	1	0	No	so
5186	1495.73	14	30	White	Yes	1	0	0	0	No	ne
10788	819.09	16	8	White	Yes	0	1	0	0	No	mw
25630	902.18	14	14	White	Yes	0	0	0	1	No	we
23400	118.71	15	11	White	Yes	0	0	0	1	Yes	we
5398	588.21	12	7	White	Yes	1	0	0	0	No	ne
23739	231.48	12	32	White	No	0	0	0	1	No	we
21587	830.96	17	4	White	Yes	0	0	1	0	No	so
17911	515.19	16	22	White	Yes	0	0	1	0	No	so
18311	759.73	12	13	White	No	0	0	1	0	No	so
574	510.45	15	19	White	Yes	1	0	0	0	No	ne
694	759.73	16	33	White	No	1	0	0	0	No	ne
5444	54.01	12	0	White	Yes	1	0	0	0	Yes	ne
23627	148.15	6	11	White	No	0	0	0	1	No	we
10738	102.88	12	0	White	Yes	0	1	0	0	Yes	mw
26011	86.13	12	0	White	Yes	0	0	0	1	Yes	we
25476	498.58	14	9	Black	Yes	0	0	0	1	No	we
16563	664.77	13	32	White	Yes	0	0	1	0	No	so
17498	679.01	13	20	White	Yes	0	0	1	0	No	so
15230	274.35	12	9	White	Yes	0	0	1	0	No	so
4878	1068.38	16	38	White	Yes	1	0	0	0	No	ne
14623	459.94	11	16	White	No	0	0	1	0	No	so
16934	356.13	13	30	White	Yes	0	0	1	0	No	so
1136	1424.50	16	19	White	Yes	1	0	0	0	No	ne
5437	949.67	18	27	White	Yes	1	0	0	0	No	ne
16074	455.65	14	8	White	No	0	0	1	0	No	so
8235	85.66	13	0	Black	Yes	0	1	0	0	Yes	mw
4994	329.22	15	NA	White	Yes	1	0	0	0	No	ne
3265	1329.53	15	10	White	Yes	1	0	0	0	No	ne
7596	2374.15	18	30	White	No	0	1	0	0	No	mw
7007	522.32	12	7	White	Yes	0	1	0	0	No	mw
8467	949.67	11	43	White	Yes	0	1	0	0	No	mw
8392	958.62	12	30	White	Yes	0	1	0	0	No	mw
3558	66.48	12	52	White	Yes	1	0	0	0	Yes	ne
16239	1266.22	16	6	White	Yes	0	0	1	0	No	so
10486	123.46	12	43	White	Yes	0	1	0	0	No	mw
15378	759.73	11	20	White	Yes	0	0	1	0	No	so
17885	356.13	14	35	Black	Yes	0	0	1	0	No	so
27881	854.70	12	23	White	Yes	0	0	0	1	No	we
20159	688.51	15	29	White	Yes	0	0	1	0	No	so
27692	53.83	12	1	Black	Yes	0	0	0	1	No	we
9106	333.33	12	7	White	No	0	1	0	0	No	mw
28073	1068.38	18	23	White	No	0	0	0	1	No	we
60	752.54	14	29	White	Yes	1	0	0	0	No	ne
4789	1056.51	16	19	White	Yes	1	0	0	0	No	ne
13387	522.32	14	14	White	Yes	0	0	1	0	No	so
15606	148.15	15	NA	White	Yes	0	0	1	0	No	so
14256	1132.48	18	4	White	Yes	0	0	1	0	No	so
12981	1210.83	16	21	White	Yes	0	1	0	0	No	mw
16651	284.90	12	2	White	Yes	0	0	1	0	No	so
22810	142.45	13	0	White	No	0	0	0	1	No	we
8364	740.74	12	35	White	Yes	0	1	0	0	No	mw
16726	324.89	8	38	Black	No	0	0	1	0	No	so
9722	740.74	14	9	White	Yes	0	1	0	0	No	mw
7785	252.06	11	1	White	Yes	0	1	0	0	No	mw
16863	875.69	12	8	White	Yes	0	0	1	0	No	so
25107	119.90	14	5	White	Yes	0	0	0	1	Yes	we
19709	621.31	13	17	White	No	0	0	1	0	No	so
12324	91.62	12	5	White	No	0	1	0	0	No	mw
13094	498.58	18	7	White	Yes	0	1	0	0	No	mw
9978	783.48	12	33	White	Yes	0	1	0	0	No	mw
1159	2057.61	16	27	White	Yes	1	0	0	0	No	ne
7513	759.73	12	20	White	Yes	0	1	0	0	No	mw
9812	274.35	18	1	White	Yes	0	1	0	0	No	mw
4450	2374.15	18	19	White	Yes	1	0	0	0	No	ne
11465	451.09	12	5	White	No	0	1	0	0	No	mw
17925	740.74	12	12	White	Yes	0	0	1	0	No	so
19460	929.84	16	23	White	Yes	0	0	1	0	No	so
17107	347.22	12	10	White	Yes	0	0	1	0	No	so
4434	498.58	12	20	Black	Yes	1	0	0	0	No	ne
24038	352.73	10	24	White	Yes	0	0	0	1	No	we
20519	1448.24	16	7	White	Yes	0	0	1	0	No	so
8414	451.09	16	32	White	Yes	0	1	0	0	No	mw
5557	525.43	10	43	White	Yes	1	0	0	0	No	ne
20308	213.68	12	11	White	Yes	0	0	1	0	No	so
8440	64.98	12	1	White	Yes	0	1	0	0	Yes	mw
3657	689.96	12	28	White	Yes	1	0	0	0	No	ne
23368	498.58	15	10	White	Yes	0	0	0	1	No	we
21611	189.93	2	12	White	Yes	0	0	1	0	No	so
8206	58.10	14	5	White	Yes	0	1	0	0	Yes	mw
15859	474.83	12	9	White	Yes	0	0	1	0	No	so
17823	249.85	12	3	White	Yes	0	0	1	0	No	so
25377	253.24	12	1	White	No	0	0	0	1	Yes	we
13585	976.97	17	13	White	No	0	0	1	0	No	so
4728	51.44	16	NA	White	Yes	1	0	0	0	Yes	ne
21943	949.67	12	13	White	Yes	0	0	1	0	No	so
10862	818.11	12	11	White	Yes	0	1	0	0	No	mw
14237	157.02	14	NA	Black	Yes	0	0	1	0	Yes	so
25532	712.25	16	6	Black	Yes	0	0	0	1	No	we
8839	420.88	13	28	White	No	0	1	0	0	No	mw
6389	528.37	11	43	White	Yes	1	0	0	0	No	ne
6600	320.99	12	1	White	Yes	0	1	0	0	No	mw
11135	92.59	12	2	White	No	0	1	0	0	No	mw
9143	125.85	8	18	White	No	0	1	0	0	No	mw
12585	451.09	16	14	White	No	0	1	0	0	No	mw
18558	284.90	16	2	White	Yes	0	0	1	0	No	so
969	2374.15	18	16	White	Yes	1	0	0	0	No	ne
4708	205.76	12	3	White	Yes	1	0	0	0	No	ne
25553	284.90	10	10	White	Yes	0	0	0	1	No	we
16444	530.06	12	45	White	Yes	0	0	1	0	Yes	so
16616	370.37	12	16	White	Yes	0	0	1	0	No	so
27521	1975.31	18	29	White	Yes	0	0	0	1	No	we
23105	1899.34	18	17	White	Yes	0	0	0	1	No	we
20555	1020.89	14	10	White	Yes	0	0	1	0	No	so
8321	830.96	16	20	White	Yes	0	1	0	0	No	mw
12740	474.83	16	7	White	Yes	0	1	0	0	No	mw
3385	765.43	12	40	White	Yes	1	0	0	0	No	ne
26329	370.37	16	5	White	Yes	0	0	0	1	No	we
7105	590.08	12	6	White	Yes	0	1	0	0	No	mw
6895	1068.38	18	24	White	Yes	0	1	0	0	No	mw
23825	565.84	18	35	White	Yes	0	0	0	1	Yes	we
6073	94.97	12	7	White	Yes	1	0	0	0	No	ne
6855	807.22	12	22	White	Yes	0	1	0	0	No	mw
9099	379.87	12	10	White	No	0	1	0	0	No	mw
27883	2292.77	13	NA	White	Yes	0	0	0	1	No	we
25598	237.42	12	3	White	Yes	0	0	0	1	No	we
11361	971.89	12	18	White	Yes	0	1	0	0	No	mw
10626	878.44	18	20	White	Yes	0	1	0	0	No	mw
20621	790.12	14	12	White	Yes	0	0	1	0	No	so
24126	154.32	12	45	White	Yes	0	0	0	1	No	we
18732	231.48	12	26	White	No	0	0	1	0	No	so
10042	498.58	15	6	White	Yes	0	1	0	0	No	mw
22182	412.77	9	11	White	Yes	0	0	0	1	No	we
144	617.28	12	20	White	No	1	0	0	0	No	ne
15040	763.30	18	13	White	Yes	0	0	1	0	No	so
979	830.96	16	13	White	Yes	1	0	0	0	No	ne
20217	783.48	16	13	White	Yes	0	0	1	0	No	so
5668	720.61	16	19	White	Yes	1	0	0	0	No	ne
8097	222.22	2	35	White	Yes	0	1	0	0	No	mw
15823	1424.50	16	35	White	No	0	0	1	0	No	so
6759	688.51	12	24	White	Yes	0	1	0	0	No	mw
18376	641.03	12	7	White	Yes	0	0	1	0	No	so
17630	592.59	11	10	White	Yes	0	0	1	0	No	so
12830	527.07	18	11	White	No	0	1	0	0	No	mw
17938	1377.02	16	24	White	Yes	0	0	1	0	No	so
20113	282.47	10	4	White	No	0	0	1	0	No	so
11624	427.35	12	3	White	Yes	0	1	0	0	Yes	mw
198	189.93	12	16	White	No	1	0	0	0	No	ne
14970	759.73	12	13	White	Yes	0	0	1	0	No	so
798	498.58	12	16	White	No	1	0	0	0	No	ne
6083	410.73	11	12	White	Yes	1	0	0	0	No	ne
6995	284.90	12	8	White	Yes	0	1	0	0	No	mw
26839	899.02	12	10	White	Yes	0	0	0	1	No	we
7180	546.06	12	17	White	Yes	0	1	0	0	No	mw
2799	783.48	14	19	White	Yes	1	0	0	0	No	ne
18268	688.51	13	19	White	Yes	0	0	1	0	No	so
8408	405.64	13	11	White	Yes	0	1	0	0	No	mw
25047	593.54	0	56	White	Yes	0	0	0	1	No	we
9563	902.18	12	30	White	Yes	0	1	0	0	No	mw
6783	1519.47	16	10	White	Yes	0	1	0	0	No	mw
6440	123.46	12	45	White	Yes	1	0	0	0	Yes	ne
5808	759.73	12	37	White	Yes	1	0	0	0	No	ne
691	379.87	16	13	White	No	1	0	0	0	No	ne
24057	166.19	14	47	White	No	0	0	0	1	No	we
20036	830.96	18	31	White	Yes	0	0	1	0	No	so
21618	246.91	6	9	White	Yes	0	0	1	0	Yes	so
14484	411.52	14	39	White	Yes	0	0	1	0	No	so
4003	759.73	14	22	White	Yes	1	0	0	0	No	ne
11924	396.79	12	22	White	No	0	1	0	0	No	mw
20469	166.19	16	2	White	Yes	0	0	1	0	No	so
20933	406.33	14	11	Black	Yes	0	0	1	0	No	so
15884	379.87	11	12	White	No	0	0	1	0	No	so
881	997.15	18	19	White	Yes	1	0	0	0	No	ne
12749	207.74	10	3	White	No	0	1	0	0	No	mw
6056	130.58	14	2	White	Yes	1	0	0	0	Yes	ne
11703	1092.32	12	17	White	Yes	0	1	0	0	No	mw
22442	365.62	12	12	White	No	0	0	0	1	No	we
26119	1187.08	16	12	White	Yes	0	0	0	1	No	we
13968	1187.08	18	17	White	No	0	0	1	0	No	so
5228	451.09	10	34	White	Yes	1	0	0	0	No	ne
3270	546.06	14	3	White	Yes	1	0	0	0	No	ne
5286	973.41	14	27	White	Yes	1	0	0	0	No	ne
16626	415.48	11	31	White	Yes	0	0	1	0	No	so
23631	382.98	12	27	White	Yes	0	0	0	1	No	we
19078	451.09	12	18	White	No	0	0	1	0	No	so
25406	183.60	15	5	White	Yes	0	0	0	1	No	we
8497	379.87	13	31	White	Yes	0	1	0	0	No	mw
28050	1377.02	16	32	White	Yes	0	0	0	1	No	we
11972	77.16	12	28	White	No	0	1	0	0	No	mw
27070	680.27	12	16	White	Yes	0	0	0	1	No	we
15053	2374.15	16	22	White	Yes	0	0	1	0	No	so
19203	189.93	5	24	Black	No	0	0	1	0	No	so
17905	284.90	10	28	White	No	0	0	1	0	No	so
7460	129.18	12	13	White	No	0	1	0	0	No	mw
428	759.73	14	29	White	Yes	1	0	0	0	No	ne
520	517.19	12	26	White	Yes	1	0	0	0	No	ne
22986	781.10	16	11	White	No	0	0	0	1	No	we
17882	2393.55	7	19	White	Yes	0	0	1	0	Yes	so
4875	2374.15	12	26	White	Yes	1	0	0	0	No	ne
16781	261.16	12	25	Black	No	0	0	1	0	No	so
3063	830.96	12	40	White	Yes	1	0	0	0	No	ne
16534	308.64	10	45	White	No	0	0	1	0	No	so
12408	178.60	16	0	White	No	0	1	0	0	Yes	mw
20401	281.48	13	15	White	No	0	0	1	0	No	so
14601	641.03	16	4	White	Yes	0	0	1	0	No	so
7993	158.72	9	8	White	Yes	0	1	0	0	No	mw
956	712.25	18	16	White	Yes	1	0	0	0	No	ne
3889	296.30	18	19	White	Yes	1	0	0	0	No	ne
22759	728.87	18	21	White	Yes	0	0	0	1	No	we
8999	132.10	11	14	Black	Yes	0	1	0	0	No	mw
1307	701.23	14	37	White	Yes	1	0	0	0	No	ne
13591	222.22	9	24	White	No	0	0	1	0	No	so
7228	78.35	12	3	White	Yes	0	1	0	0	Yes	mw
11663	332.38	10	9	White	Yes	0	1	0	0	No	mw
1478	569.80	11	18	White	No	1	0	0	0	No	ne
9668	130.58	17	NA	White	Yes	0	1	0	0	Yes	mw
16375	891.47	12	47	White	Yes	0	0	1	0	No	so
5763	735.99	12	15	White	Yes	1	0	0	0	No	ne
6188	427.35	8	48	White	Yes	1	0	0	0	No	ne
21096	245.63	12	10	White	Yes	0	0	1	0	No	so
606	90.22	12	43	White	No	1	0	0	0	No	ne
15222	546.06	12	39	White	Yes	0	0	1	0	No	so
20536	356.13	12	11	White	Yes	0	0	1	0	No	so
6113	385.09	13	13	White	Yes	1	0	0	0	No	ne
23938	474.83	12	17	White	Yes	0	0	0	1	No	we
9690	1780.63	16	38	White	Yes	0	1	0	0	No	mw
16173	118.71	13	10	Black	Yes	0	0	1	0	No	so
12323	580.97	12	43	White	No	0	1	0	0	No	mw
13197	494.78	18	38	White	No	0	1	0	0	No	mw
20826	961.54	16	30	White	Yes	0	0	1	0	No	so
1011	688.51	10	16	White	Yes	1	0	0	0	No	ne
1400	807.22	16	15	White	No	1	0	0	0	No	ne
19615	712.25	7	38	White	Yes	0	0	1	0	No	so
15406	332.38	15	10	Black	Yes	0	0	1	0	No	so
10918	468.09	16	18	White	Yes	0	1	0	0	No	mw
24255	584.00	16	15	White	Yes	0	0	0	1	No	we
3639	427.35	13	4	White	Yes	1	0	0	0	No	ne
5906	185.19	18	25	White	Yes	1	0	0	0	No	ne
14914	712.25	12	10	White	Yes	0	0	1	0	No	so

• In specifying a model using the region grouping, it easier to use the factor region than the dummy variables
• Delete the four region dummy variables - we don’t need them anymore
• The R lm() function will recreate them

# delete the four regions ne, mw, so, we
uswages <- subset(uswages,select=-c(ne:we))
# alternative
# uswages$ne <- NULL
# uswages$mw <- NULL
# uswages$so <- NULL
# uswages$we <- NULL

summary(uswages)

##       wage              educ           exper          race       smsa     
##  Min.   :  50.39   Min.   : 0.00   Min.   : 0.00   White:1844   No : 488  
##  1st Qu.: 308.64   1st Qu.:12.00   1st Qu.: 8.00   Black: 156   Yes:1512  
##  Median : 522.32   Median :12.00   Median :16.00                          
##  Mean   : 608.12   Mean   :13.11   Mean   :18.74                          
##  3rd Qu.: 783.48   3rd Qu.:16.00   3rd Qu.:27.00                          
##  Max.   :7716.05   Max.   :18.00   Max.   :59.00                          
##                                    NA's   :33                             
##    pt       region  
##  No :1815   ne:458  
##  Yes: 185   mw:497  
##             so:625  
##             we:420  
##                     
##                     
## 

Missing data

• Delete all the missing data

# Take care of NAs
uswages <- na.omit(uswages)

See summary of finished product

• Have one more look at the data summary

summary(uswages)

##       wage              educ           exper          race       smsa     
##  Min.   :  50.39   Min.   : 0.00   Min.   : 0.00   White:1812   No : 483  
##  1st Qu.: 314.69   1st Qu.:12.00   1st Qu.: 8.00   Black: 155   Yes:1484  
##  Median : 522.32   Median :12.00   Median :16.00                          
##  Mean   : 613.99   Mean   :13.08   Mean   :18.74                          
##  3rd Qu.: 783.48   3rd Qu.:16.00   3rd Qu.:27.00                          
##  Max.   :7716.05   Max.   :18.00   Max.   :59.00                          
##    pt       region  
##  No :1802   ne:448  
##  Yes: 165   mw:488  
##             so:616  
##             we:415  
##                     
## 

Explore scatterplot matrix using the continuous predictors

library("GGally")

## Loading required package: ggplot2

## Registered S3 method overwritten by 'GGally':
##   method from   
##   +.gg   ggplot2

## 
## Attaching package: 'GGally'

## The following object is masked from 'package:faraway':
## 
##     happy

ggpairs(uswages, columns = c("educ", "exper", "wage"), alpha = I(1/100), size = .1)

## Warning in warn_if_args_exist(list(...)): Extra arguments: 'alpha', 'size'
## are being ignored. If these are meant to be aesthetics, submit them using the
## 'mapping' variable within ggpairs with ggplot2::aes or ggplot2::aes_string.

• It appears that educ and exper have a stronger relationship than either have with wage

• The relationship with wage may become clearer if we condition with a factor such as region

• wage is skewed to the right

• Conclusion: Start with a simple model using educ as a predictor

Explore scatterplot matrix using the continuous predictors plus one factor, include fitted lines

library("GGally")

p1 <- ggpairs(uswages, 
        columns = c("region" ,"educ", "exper", "wage"),
        lower = list(
          continuous = wrap("smooth", se = FALSE),
          combo = "facetdensity",
          mapping = aes(color = region),
          alpha=I(1/100)
          )
)
p1  

#### Pick out the wage vs educ and wage vs exper scatterplots

p1[4, 2]

Observations : - As expected, we do see wages rising as the education increases for all of the regions. - There are a few outliers that can be seen. - West region seems to have lowest wages (for lower education).

p1[4, 3]

Use log(wage) in place of wage

• The pattern in “wage vs exper” needs a closer look

• This plot features loess (default) smoother-fits per region

library("ggplot2")
qplot(exper, 
      log(wage), 
      data = uswages, 
      color = region, 
      alpha = I(1/10)
      ) +
  geom_smooth(method = "loess", se = FALSE)

Observation : - We do see a steady increase in wages as the experience increases (till 20-30) but it shows a downward trend as experience increases beyond 30 - It essentially shows that the older working population is not paid as much as their younger counterparts.

• Let’s explore fitting a quadratic model per region using log(wage) as the outcome

library("ggplot2")
plot1 <- qplot(exper, 
      log(wage), 
      data = uswages, 
      color = region, 
      alpha = I(1/5)
      ) +
  geom_smooth(method = "lm", 
              formula = y~poly(x, degree=2),
              se=FALSE
              ) +
  ggtitle("Quadratic Regressions per Region using exper ")
plot1

• This is further exploration of the relation between wage and exper within the part time and full time workers using pt

plot3 <- plot1 +
  facet_grid(. ~ pt) +
  ggtitle("Quadratic Regressions per (`region`, `pt`) using `exper`")
plot3

Observations : - We do see the same trend as plots before this, but we see slightly different trend for southern region part time working population.

# Upon having a closer look at the kernel density plot of `educ`

qplot(educ, data = uswages, geom = "density")

# It appears there are distinct clusters that coincide with "highschool","college", and "graduate" levels of education

# Creating a factor variable out of "educ" 
# with levels equal to "high_school","college", and "graduate"

uswages$education <- cut(uswages$educ,
                     breaks=c(-Inf, 15, 17, Inf),
                     labels=c("high_school","college","graduate"))

# A boxplot of "log(wage)" per "education"

qplot(education, 
      log(wage), 
      data = uswages, 
      geom = "boxplot")

# This idea was suggested by my student Keegan McWilliam-Ward

Observations : - We see that the graduates were paid most, followed by college educated and high school educated people. - We see a few major outliers in high school category

Observation : - We do see a steady increase in wages as the experience increases (till 20-30) but it shows a downward trend as experience increases beyond 30 - It essentially shows that the older working population is not paid as much as their younger counterparts.

Observations : - We can see that a major part of dataset are high school graduates but they are also the ones that are towards the lower end of payscale - We can see graduates and college population getting paid better but as the experience increases, we do see a decline in pay - We see outliers wherein high school population is getting paid better than graduates and college population

Observations : - Among the part time working population we see that majority are high school graduates - Also we do not see a downward trend in wages for college population wuth respect to experience when it comes to part-time workers.

Lab Exercise 2

• This is a lab exercise
• We will work through the following dataset in groups
• We will take steps toward assessing the goodness-of-fit of a “first try” predictive model
• We begin together with the dataset and preprocessing
• (Optional) Now take a few minutes now and form groups of three
• After these data pre-prosessing steps, take some time and come up with the next step and be prepared to discuss your progress in 30 minutes
• You will submit your results as an individual on Bb

Galton’s Original Data

• Sir Francis Galton, the originator of regression analysis, demonstrated his technique with the data on the heights of parents and their children as collected during a census in France during the time of Napoleon.

library("mosaic")
library("ggplot2")
data("Galton")

names(Galton)

## [1] "family" "father" "mother" "sex"    "height" "nkids"

str(Galton)

## 'data.frame':    898 obs. of  6 variables:
##  $ family: Factor w/ 197 levels "1","10","100",..: 1 1 1 1 108 108 108 108 123 123 ...
##  $ father: num  78.5 78.5 78.5 78.5 75.5 75.5 75.5 75.5 75 75 ...
##  $ mother: num  67 67 67 67 66.5 66.5 66.5 66.5 64 64 ...
##  $ sex   : Factor w/ 2 levels "F","M": 2 1 1 1 2 2 1 1 2 1 ...
##  $ height: num  73.2 69.2 69 69 73.5 72.5 65.5 65.5 71 68 ...
##  $ nkids : int  4 4 4 4 4 4 4 4 2 2 ...

formattable::formattable(Galton)

family	father	mother	sex	height	nkids
1	78.5	67.0	M	73.2	4
1	78.5	67.0	F	69.2	4
1	78.5	67.0	F	69.0	4
1	78.5	67.0	F	69.0	4
2	75.5	66.5	M	73.5	4
2	75.5	66.5	M	72.5	4
2	75.5	66.5	F	65.5	4
2	75.5	66.5	F	65.5	4
3	75.0	64.0	M	71.0	2
3	75.0	64.0	F	68.0	2
4	75.0	64.0	M	70.5	5
4	75.0	64.0	M	68.5	5
4	75.0	64.0	F	67.0	5
4	75.0	64.0	F	64.5	5
4	75.0	64.0	F	63.0	5
5	75.0	58.5	M	72.0	6
5	75.0	58.5	M	69.0	6
5	75.0	58.5	M	68.0	6
5	75.0	58.5	F	66.5	6
5	75.0	58.5	F	62.5	6
5	75.0	58.5	F	62.5	6
6	74.0	68.0	F	69.5	1
7	74.0	68.0	M	76.5	6
7	74.0	68.0	M	74.0	6
7	74.0	68.0	M	73.0	6
7	74.0	68.0	M	73.0	6
7	74.0	68.0	F	70.5	6
7	74.0	68.0	F	64.0	6
8	74.0	66.5	F	70.5	3
8	74.0	66.5	F	68.0	3
8	74.0	66.5	F	66.0	3
9	74.5	66.0	F	66.0	1
10	74.0	65.5	F	65.5	1
11	74.0	62.0	M	74.0	8
11	74.0	62.0	M	70.0	8
11	74.0	62.0	F	68.0	8
11	74.0	62.0	F	67.0	8
11	74.0	62.0	F	67.0	8
11	74.0	62.0	F	66.0	8
11	74.0	62.0	F	63.5	8
11	74.0	62.0	F	63.0	8
12	74.0	61.0	F	65.0	1
14	73.0	67.0	M	68.0	2
14	73.0	67.0	M	67.0	2
15	73.0	66.5	M	71.0	3
15	73.0	66.5	M	70.5	3
15	73.0	66.5	F	66.7	3
16	73.0	65.0	M	72.0	9
16	73.0	65.0	M	70.5	9
16	73.0	65.0	M	70.2	9
16	73.0	65.0	M	70.2	9
16	73.0	65.0	M	69.2	9
16	73.0	65.0	F	68.7	9
16	73.0	65.0	F	66.5	9
16	73.0	65.0	F	64.5	9
16	73.0	65.0	F	63.5	9
17	73.0	64.5	M	74.0	6
17	73.0	64.5	M	73.0	6
17	73.0	64.5	M	71.5	6
17	73.0	64.5	M	62.5	6
17	73.0	64.5	F	66.5	6
17	73.0	64.5	F	62.3	6
18	73.0	64.0	F	66.0	3
18	73.0	64.0	F	64.5	3
18	73.0	64.0	F	64.0	3
19	73.2	63.0	F	62.7	1
20	72.7	69.0	M	73.2	8
20	72.7	69.0	M	73.0	8
20	72.7	69.0	M	72.7	8
20	72.7	69.0	F	70.0	8
20	72.7	69.0	F	69.0	8
20	72.7	69.0	F	68.5	8
20	72.7	69.0	F	68.0	8
20	72.7	69.0	F	66.0	8
21	72.0	68.0	M	73.0	3
21	72.0	68.0	F	68.5	3
21	72.0	68.0	F	68.0	3
22	72.0	67.0	M	73.0	3
22	72.0	67.0	M	71.0	3
22	72.0	67.0	F	67.0	3
23	72.0	65.0	M	74.2	7
23	72.0	65.0	M	70.5	7
23	72.0	65.0	M	69.5	7
23	72.0	65.0	F	66.0	7
23	72.0	65.0	F	65.5	7
23	72.0	65.0	F	65.0	7
23	72.0	65.0	F	65.0	7
24	72.0	65.5	F	65.5	1
25	72.0	64.0	F	66.0	2
25	72.0	64.0	F	63.0	2
26	72.0	63.0	M	70.5	5
26	72.0	63.0	M	70.5	5
26	72.0	63.0	M	69.0	5
26	72.0	63.0	F	65.0	5
26	72.0	63.0	F	63.0	5
27	72.0	63.0	M	69.0	3
27	72.0	63.0	M	67.0	3
27	72.0	63.0	F	63.0	3
28	72.0	63.0	M	73.0	6
28	72.0	63.0	M	67.0	6
28	72.0	63.0	F	70.5	6
28	72.0	63.0	F	70.0	6
28	72.0	63.0	F	66.5	6
28	72.0	63.0	F	63.0	6
29	72.5	63.5	F	67.5	3
29	72.5	63.5	F	67.2	3
29	72.5	63.5	F	66.7	3
30	72.0	62.0	F	64.0	1
31	72.5	62.0	M	71.0	6
31	72.5	62.0	M	70.0	6
31	72.5	62.0	M	70.0	6
31	72.5	62.0	F	66.0	6
31	72.5	62.0	F	65.0	6
31	72.5	62.0	F	65.0	6
32	72.0	62.0	M	74.0	5
32	72.0	62.0	M	72.0	5
32	72.0	62.0	M	69.0	5
32	72.0	62.0	F	67.5	5
32	72.0	62.0	F	63.5	5
33	72.0	62.0	M	72.0	5
33	72.0	62.0	M	71.5	5
33	72.0	62.0	M	71.5	5
33	72.0	62.0	M	70.0	5
33	72.0	62.0	F	68.0	5
34	72.0	61.0	F	65.7	1
35	71.0	69.0	M	78.0	5
35	71.0	69.0	M	74.0	5
35	71.0	69.0	M	73.0	5
35	71.0	69.0	M	72.0	5
35	71.0	69.0	F	67.0	5
36	71.0	67.0	M	73.2	4
36	71.0	67.0	M	73.0	4
36	71.0	67.0	M	69.0	4
36	71.0	67.0	F	67.0	4
37	71.0	66.0	M	70.0	4
37	71.0	66.0	F	67.0	4
37	71.0	66.0	F	67.0	4
37	71.0	66.0	F	66.5	4
38	71.0	66.0	M	70.0	6
38	71.0	66.0	M	69.0	6
38	71.0	66.0	M	68.5	6
38	71.0	66.0	F	66.0	6
38	71.0	66.0	F	64.5	6
38	71.0	66.0	F	63.0	6
39	71.0	66.0	M	71.0	2
39	71.0	66.0	F	67.0	2
40	71.0	66.0	M	76.0	5
40	71.0	66.0	M	72.0	5
40	71.0	66.0	M	71.0	5
40	71.0	66.0	M	66.0	5
40	71.0	66.0	F	66.0	5
41	71.7	65.5	M	70.5	1
42	71.0	65.5	M	72.0	6
42	71.0	65.5	M	72.0	6
42	71.0	65.5	M	71.0	6
42	71.0	65.5	M	69.0	6
42	71.0	65.5	F	66.0	6
42	71.0	65.5	F	65.0	6
43	71.5	65.5	M	73.0	2
43	71.5	65.5	F	65.2	2
44	71.5	65.0	M	68.5	2
44	71.5	65.0	M	67.7	2
45	71.0	65.0	M	68.0	3
45	71.0	65.0	M	68.0	3
45	71.0	65.0	F	62.0	3
46	71.0	64.0	F	68.0	8
46	71.0	64.0	F	68.0	8
46	71.0	64.0	F	67.5	8
46	71.0	64.0	F	66.5	8
46	71.0	64.0	F	66.5	8
46	71.0	64.0	F	66.0	8
46	71.0	64.0	F	65.5	8
46	71.0	64.0	F	65.0	8
47	71.7	64.5	M	72.0	4
47	71.7	64.5	M	71.0	4
47	71.7	64.5	M	70.5	4
47	71.7	64.5	F	67.0	4
48	71.0	64.0	M	68.0	3
48	71.0	64.0	M	68.0	3
48	71.0	64.0	M	68.0	3
49	71.5	64.5	M	72.0	7
49	71.5	64.5	M	71.0	7
49	71.5	64.5	M	70.0	7
49	71.5	64.5	F	66.0	7
49	71.5	64.5	F	64.5	7
49	71.5	64.5	F	64.5	7
49	71.5	64.5	F	62.0	7
51	71.2	63.0	F	67.5	2
51	71.2	63.0	F	64.5	2
52	71.0	63.5	M	71.0	5
52	71.0	63.5	M	67.0	5
52	71.0	63.5	F	66.0	5
52	71.0	63.5	F	65.0	5
52	71.0	63.5	F	63.5	5
53	71.0	63.0	M	71.0	9
53	71.0	63.0	M	70.0	9
53	71.0	63.0	M	70.0	9
53	71.0	63.0	M	64.0	9
53	71.0	63.0	F	65.0	9
53	71.0	63.0	F	65.0	9
53	71.0	63.0	F	64.0	9
53	71.0	63.0	F	63.0	9
53	71.0	63.0	F	63.0	9
54	71.0	63.0	M	71.0	4
54	71.0	63.0	M	71.0	4
54	71.0	63.0	M	70.0	4
54	71.0	63.0	F	63.5	4
55	71.0	62.0	M	71.0	5
55	71.0	62.0	M	70.0	5
55	71.0	62.0	F	64.5	5
55	71.0	62.0	F	62.5	5
55	71.0	62.0	F	61.5	5
56	71.0	62.0	M	72.0	5
56	71.0	62.0	M	70.5	5
56	71.0	62.0	M	70.5	5
56	71.0	62.0	F	64.5	5
56	71.0	62.0	F	60.0	5
57	71.0	62.5	M	70.0	5
57	71.0	62.5	F	64.0	5
57	71.0	62.5	F	64.0	5
57	71.0	62.5	F	64.0	5
57	71.0	62.5	F	62.5	5
58	71.0	62.0	M	70.5	7
58	71.0	62.0	M	70.0	7
58	71.0	62.0	M	69.0	7
58	71.0	62.0	M	69.0	7
58	71.0	62.0	M	66.0	7
58	71.0	62.0	F	64.5	7
58	71.0	62.0	F	64.0	7
59	71.0	61.0	F	62.0	1
60	71.0	58.0	M	71.5	2
60	71.0	58.0	M	69.0	2
61	70.0	69.0	M	71.0	4
61	70.0	69.0	M	70.0	4
61	70.0	69.0	M	69.0	4
61	70.0	69.0	F	69.0	4
62	70.0	69.0	M	70.0	6
62	70.0	69.0	M	68.7	6
62	70.0	69.0	F	68.0	6
62	70.0	69.0	F	66.0	6
62	70.0	69.0	F	64.0	6
62	70.0	69.0	F	62.0	6
63	70.0	68.0	M	75.0	1
64	70.0	67.0	M	70.0	5
64	70.0	67.0	M	69.0	5
64	70.0	67.0	F	66.0	5
64	70.0	67.0	F	64.0	5
64	70.0	67.0	F	60.0	5
65	70.0	67.0	F	67.5	1
66	70.0	66.5	M	73.0	11
66	70.0	66.5	M	72.0	11
66	70.0	66.5	M	72.0	11
66	70.0	66.5	M	66.5	11
66	70.0	66.5	F	69.2	11
66	70.0	66.5	F	67.2	11
66	70.0	66.5	F	66.5	11
66	70.0	66.5	F	66.0	11
66	70.0	66.5	F	66.0	11
66	70.0	66.5	F	64.2	11
66	70.0	66.5	F	63.7	11
67	70.5	65.0	M	72.0	4
67	70.5	65.0	M	70.2	4
67	70.5	65.0	M	69.0	4
67	70.5	65.0	M	68.5	4
68	70.5	65.0	F	68.0	5
68	70.5	65.0	F	65.0	5
68	70.5	65.0	F	61.5	5
68	70.5	65.0	F	61.0	5
68	70.5	65.0	F	61.0	5
69	70.0	65.0	M	73.0	8
69	70.0	65.0	M	72.0	8
69	70.0	65.0	M	70.5	8
69	70.0	65.0	M	65.0	8
69	70.0	65.0	M	65.0	8
69	70.0	65.0	F	64.5	8
69	70.0	65.0	F	63.0	8
69	70.0	65.0	F	62.0	8
70	70.0	65.0	M	67.0	5
70	70.0	65.0	M	65.0	5
70	70.0	65.0	F	64.5	5
70	70.0	65.0	F	62.5	5
70	70.0	65.0	F	62.5	5
71	70.0	65.0	M	70.0	6
71	70.0	65.0	M	70.0	6
71	70.0	65.0	F	67.0	6
71	70.0	65.0	F	65.0	6
71	70.0	65.0	F	65.0	6
71	70.0	65.0	F	63.0	6
72	70.0	65.0	M	79.0	7
72	70.0	65.0	M	75.0	7
72	70.0	65.0	M	71.0	7
72	70.0	65.0	F	69.0	7
72	70.0	65.0	F	67.0	7
72	70.0	65.0	F	65.7	7
72	70.0	65.0	F	62.0	7
73	70.0	65.0	M	73.0	3
73	70.0	65.0	M	72.5	3
73	70.0	65.0	F	65.0	3
74	70.0	65.0	M	69.0	2
74	70.0	65.0	M	69.0	2
75	70.0	64.7	M	72.0	7
75	70.0	64.7	M	70.0	7
75	70.0	64.7	M	68.7	7
75	70.0	64.7	F	66.5	7
75	70.0	64.7	F	65.5	7
75	70.0	64.7	F	64.7	7
75	70.0	64.7	F	64.5	7
76	70.0	64.0	M	70.7	7
76	70.0	64.0	M	70.0	7
76	70.0	64.0	M	68.0	7
76	70.0	64.0	M	67.0	7
76	70.0	64.0	M	66.0	7
76	70.0	64.0	M	65.0	7
76	70.0	64.0	F	67.0	7
77	70.0	64.0	M	70.0	4
77	70.0	64.0	M	68.0	4
77	70.0	64.0	M	66.7	4
77	70.0	64.0	F	65.5	4
78	70.0	64.2	M	72.0	5
78	70.0	64.2	M	70.0	5
78	70.0	64.2	F	62.5	5
78	70.0	64.2	F	61.2	5
78	70.0	64.2	F	60.1	5
79	70.5	64.0	M	74.0	8
79	70.5	64.0	M	69.5	8
79	70.5	64.0	M	69.0	8
79	70.5	64.0	M	68.0	8
79	70.5	64.0	M	68.0	8
79	70.5	64.0	M	68.0	8
79	70.5	64.0	F	65.5	8
79	70.5	64.0	F	65.0	8
80	70.5	64.5	F	60.0	1
81	70.0	64.0	M	68.0	4
81	70.0	64.0	F	65.0	4
81	70.0	64.0	F	64.0	4
81	70.0	64.0	F	62.0	4
82	70.0	64.0	M	71.0	9
82	70.0	64.0	M	70.0	9
82	70.0	64.0	M	70.0	9
82	70.0	64.0	M	70.0	9
82	70.0	64.0	M	69.5	9
82	70.0	64.0	M	68.5	9
82	70.0	64.0	F	69.0	9
82	70.0	64.0	F	65.0	9
82	70.0	64.0	F	64.0	9
83	70.0	63.7	M	70.0	8
83	70.0	63.7	M	67.0	8
83	70.0	63.7	M	65.5	8
83	70.0	63.7	F	63.7	8
83	70.0	63.7	F	63.2	8
83	70.0	63.7	F	62.5	8
83	70.0	63.7	F	62.2	8
83	70.0	63.7	F	61.0	8
85	70.5	63.0	M	72.5	5
85	70.5	63.0	M	69.0	5
85	70.5	63.0	M	67.0	5
85	70.5	63.0	F	64.5	5
85	70.5	63.0	F	64.0	5
86	70.0	63.5	M	71.0	4
86	70.0	63.5	M	67.5	4
86	70.0	63.5	F	67.5	4
86	70.0	63.5	F	63.5	4
87	70.0	63.0	M	68.0	4
87	70.0	63.0	M	67.0	4
87	70.0	63.0	F	63.7	4
87	70.0	63.0	F	62.0	4
88	70.0	63.0	M	70.0	4
88	70.0	63.0	M	66.5	4
88	70.0	63.0	F	62.0	4
88	70.0	63.0	F	61.0	4
89	70.5	62.0	M	72.0	8
89	70.5	62.0	M	70.0	8
89	70.5	62.0	M	69.5	8
89	70.5	62.0	M	69.5	8
89	70.5	62.0	M	68.0	8
89	70.5	62.0	F	65.0	8
89	70.5	62.0	F	64.0	8
89	70.5	62.0	F	63.0	8
90	70.3	62.7	M	70.7	7
90	70.3	62.7	M	69.7	7
90	70.3	62.7	M	69.2	7
90	70.3	62.7	M	65.2	7
90	70.3	62.7	F	64.0	7
90	70.3	62.7	F	63.5	7
90	70.3	62.7	F	63.2	7
91	70.5	62.0	M	72.0	3
91	70.5	62.0	M	72.0	3
91	70.5	62.0	F	60.0	3
92	70.0	61.0	M	71.2	2
92	70.0	61.0	M	67.0	2
93	70.0	60.0	M	67.0	4
93	70.0	60.0	M	64.5	4
93	70.0	60.0	F	65.0	4
93	70.0	60.0	F	63.0	4
94	70.0	60.0	F	65.0	2
94	70.0	60.0	F	65.0	2
95	70.0	58.5	M	71.5	3
95	70.0	58.5	M	64.5	3
95	70.0	58.5	F	63.0	3
96	70.0	58.0	M	72.0	5
96	70.0	58.0	M	66.0	5
96	70.0	58.0	F	66.0	5
96	70.0	58.0	F	65.0	5
96	70.0	58.0	F	63.0	5
97	69.0	68.5	M	75.0	10
97	69.0	68.5	M	71.0	10
97	69.0	68.5	M	70.0	10
97	69.0	68.5	F	66.0	10
97	69.0	68.5	F	66.0	10
97	69.0	68.5	F	65.5	10
97	69.0	68.5	F	65.0	10
97	69.0	68.5	F	65.0	10
97	69.0	68.5	F	64.0	10
97	69.0	68.5	F	64.0	10
98	69.0	67.0	F	64.0	1
99	69.0	66.0	M	73.0	8
99	69.0	66.0	M	72.0	8
99	69.0	66.0	M	71.7	8
99	69.0	66.0	M	71.5	8
99	69.0	66.0	F	65.5	8
99	69.0	66.0	F	65.0	8
99	69.0	66.0	F	62.7	8
99	69.0	66.0	F	62.5	8
100	69.0	66.0	M	71.2	3
100	69.0	66.0	M	71.0	3
100	69.0	66.0	M	70.0	3
101	69.0	66.7	M	75.0	6
101	69.0	66.7	M	74.0	6
101	69.0	66.7	M	72.0	6
101	69.0	66.7	M	68.5	6
101	69.0	66.7	M	67.0	6
101	69.0	66.7	M	66.0	6
102	69.0	66.0	M	70.0	6
102	69.0	66.0	M	68.5	6
102	69.0	66.0	M	68.0	6
102	69.0	66.0	F	65.0	6
102	69.0	66.0	F	63.0	6
102	69.0	66.0	F	62.5	6
103	69.0	66.5	M	73.0	5
103	69.0	66.5	M	71.0	5
103	69.0	66.5	M	70.5	5
103	69.0	66.5	M	70.5	5
103	69.0	66.5	F	61.0	5
104	69.5	66.5	M	70.5	4
104	69.5	66.5	M	67.5	4
104	69.5	66.5	F	64.5	4
104	69.5	66.5	F	64.0	4
105	69.0	66.5	M	71.0	6
105	69.0	66.5	F	68.5	6
105	69.0	66.5	F	67.5	6
105	69.0	66.5	F	66.0	6
105	69.0	66.5	F	63.0	6
105	69.0	66.5	F	63.0	6
106	69.5	66.0	M	71.0	7
106	69.5	66.0	M	71.0	7
106	69.5	66.0	M	70.5	7
106	69.5	66.0	M	70.5	7
106	69.5	66.0	F	66.5	7
106	69.5	66.0	F	65.5	7
106	69.5	66.0	F	64.5	7
107	69.0	66.0	M	73.0	9
107	69.0	66.0	M	72.0	9
107	69.0	66.0	M	69.0	9
107	69.0	66.0	M	69.0	9
107	69.0	66.0	F	66.5	9
107	69.0	66.0	F	65.5	9
107	69.0	66.0	F	65.5	9
107	69.0	66.0	F	65.0	9
107	69.0	66.0	F	64.0	9
108	69.0	65.0	M	70.0	7
108	69.0	65.0	M	68.5	7
108	69.0	65.0	M	67.0	7
108	69.0	65.0	F	65.0	7
108	69.0	65.0	F	64.0	7
108	69.0	65.0	F	63.5	7
108	69.0	65.0	F	61.0	7
109	69.5	64.5	M	69.7	7
109	69.5	64.5	M	68.0	7
109	69.5	64.5	M	60.0	7
109	69.5	64.5	F	65.2	7
109	69.5	64.5	F	64.5	7
109	69.5	64.5	F	63.7	7
109	69.5	64.5	F	60.0	7
110	69.2	64.0	M	71.7	4
110	69.2	64.0	M	66.5	4
110	69.2	64.0	F	65.0	4
110	69.2	64.0	F	63.5	4
112	69.0	63.0	M	69.0	3
112	69.0	63.0	F	67.5	3
112	69.0	63.0	F	63.5	3
113	69.0	63.0	M	72.0	1
114	69.0	63.0	M	73.0	6
114	69.0	63.0	M	70.0	6
114	69.0	63.0	M	70.0	6
114	69.0	63.0	M	64.0	6
114	69.0	63.0	F	66.0	6
114	69.0	63.0	F	62.0	6
115	69.0	63.5	M	70.5	7
115	69.0	63.5	M	67.0	7
115	69.0	63.5	M	66.0	7
115	69.0	63.5	F	65.0	7
115	69.0	63.5	F	63.0	7
115	69.0	63.5	F	62.0	7
115	69.0	63.5	F	61.0	7
116	69.0	63.5	M	70.5	3
116	69.0	63.5	F	63.7	3
116	69.0	63.5	F	63.0	3
117	69.7	62.0	F	62.5	1
118	69.5	62.0	M	73.0	3
118	69.5	62.0	M	72.0	3
118	69.5	62.0	M	69.0	3
119	69.0	62.0	M	73.0	5
119	69.0	62.0	M	71.0	5
119	69.0	62.0	M	71.0	5
119	69.0	62.0	M	69.0	5
119	69.0	62.0	F	63.0	5
121	69.0	62.5	M	71.0	8
121	69.0	62.5	M	70.0	8
121	69.0	62.5	M	70.0	8
121	69.0	62.5	M	69.0	8
121	69.0	62.5	F	63.5	8
121	69.0	62.5	F	62.5	8
121	69.0	62.5	F	62.5	8
121	69.0	62.5	F	62.0	8
122	69.0	62.0	M	72.0	4
122	69.0	62.0	M	68.0	4
122	69.0	62.0	F	66.0	4
122	69.0	62.0	F	66.0	4
123	69.5	61.0	M	70.0	5
123	69.5	61.0	M	69.5	5
123	69.5	61.0	M	69.0	5
123	69.5	61.0	F	63.0	5
123	69.5	61.0	F	62.0	5
124	69.0	61.0	M	68.0	9
124	69.0	61.0	M	68.0	9
124	69.0	61.0	M	67.5	9
124	69.0	61.0	M	64.0	9
124	69.0	61.0	M	63.0	9
124	69.0	61.0	M	63.0	9
124	69.0	61.0	F	63.5	9
124	69.0	61.0	F	62.0	9
124	69.0	61.0	F	62.0	9
125	69.0	60.0	M	70.5	3
125	69.0	60.0	F	68.0	3
125	69.0	60.0	F	62.5	3
126	69.0	60.0	M	69.0	4
126	69.0	60.0	M	66.0	4
126	69.0	60.0	F	61.7	4
126	69.0	60.0	F	60.5	4
127	69.0	60.5	M	69.5	1
128	68.7	70.5	M	71.0	2
128	68.7	70.5	F	61.7	2
129	68.5	67.0	M	73.0	3
129	68.5	67.0	M	71.0	3
129	68.5	67.0	F	67.0	3
130	68.5	66.5	M	70.0	11
130	68.5	66.5	M	69.0	11
130	68.5	66.5	M	69.0	11
130	68.5	66.5	M	68.7	11
130	68.5	66.5	M	68.5	11
130	68.5	66.5	M	68.5	11
130	68.5	66.5	M	68.0	11
130	68.5	66.5	M	68.0	11
130	68.5	66.5	M	68.0	11
130	68.5	66.5	F	63.2	11
131	68.0	65.0	M	67.5	2
131	68.0	65.0	M	66.0	2
132	68.0	65.5	M	66.0	2
132	68.0	65.5	F	64.0	2
133	68.0	65.5	M	71.7	7
133	68.0	65.5	M	71.5	7
133	68.0	65.5	M	70.7	7
133	68.0	65.5	M	65.5	7
133	68.0	65.5	F	66.5	7
133	68.0	65.5	F	65.2	7
133	68.0	65.5	F	61.5	7
134	68.0	65.0	M	72.0	4
134	68.0	65.0	M	72.0	4
134	68.0	65.0	F	68.0	4
134	68.0	65.0	F	66.0	4
135	68.5	65.0	M	69.2	8
135	68.5	65.0	M	68.0	8
135	68.5	65.0	M	66.0	8
135	68.5	65.0	M	66.0	8
135	68.5	65.0	F	62.0	8
135	68.5	65.0	F	61.5	8
135	68.5	65.0	F	61.0	8
135	68.5	65.0	F	60.0	8
136	68.0	64.0	M	71.0	10
136	68.0	64.0	M	68.0	10
136	68.0	64.0	M	68.0	10
136	68.0	64.0	M	67.0	10
136	68.0	64.0	F	65.0	10
136	68.0	64.0	F	64.0	10
136	68.0	64.0	F	63.0	10
136	68.0	64.0	F	63.0	10
136	68.0	64.0	F	62.0	10
136	68.0	64.0	F	61.0	10
137	68.0	64.0	M	66.0	4
137	68.0	64.0	M	63.0	4
137	68.0	64.0	F	65.5	4
137	68.0	64.0	F	62.0	4
138	68.0	64.0	M	71.2	5
138	68.0	64.0	M	71.2	5
138	68.0	64.0	M	69.0	5
138	68.0	64.0	M	68.5	5
138	68.0	64.0	F	62.5	5
139	68.0	64.5	F	62.0	1
140	68.0	64.0	M	69.0	10
140	68.0	64.0	M	67.0	10
140	68.0	64.0	M	66.0	10
140	68.0	64.0	F	66.0	10
140	68.0	64.0	F	66.0	10
140	68.0	64.0	F	65.0	10
140	68.0	64.0	F	65.0	10
140	68.0	64.0	F	65.0	10
140	68.0	64.0	F	64.0	10
140	68.0	64.0	F	63.0	10
141	68.0	63.0	M	70.5	8
141	68.0	63.0	M	70.0	8
141	68.0	63.0	M	68.0	8
141	68.0	63.0	M	66.0	8
141	68.0	63.0	M	66.0	8
141	68.0	63.0	F	66.0	8
141	68.0	63.0	F	62.0	8
141	68.0	63.0	F	61.5	8
142	68.5	63.5	M	73.5	4
142	68.5	63.5	M	70.0	4
142	68.5	63.5	M	69.5	4
142	68.5	63.5	F	65.5	4
143	68.0	63.0	M	67.0	1
144	68.0	63.0	M	70.0	4
144	68.0	63.0	M	68.0	4
144	68.0	63.0	F	64.5	4
144	68.0	63.0	F	64.0	4
145	68.0	63.0	M	71.0	8
145	68.0	63.0	M	68.0	8
145	68.0	63.0	M	66.0	8
145	68.0	63.0	M	65.5	8
145	68.0	63.0	M	65.0	8
145	68.0	63.0	F	63.0	8
145	68.0	63.0	F	62.0	8
145	68.0	63.0	F	62.0	8
146	68.0	63.0	M	67.0	6
146	68.0	63.0	M	67.0	6
146	68.0	63.0	M	66.0	6
146	68.0	63.0	F	64.0	6
146	68.0	63.0	F	63.5	6
146	68.0	63.0	F	61.0	6
147	68.5	63.5	M	68.2	1
148	68.0	63.0	M	70.0	1
149	68.2	63.5	M	70.0	5
149	68.2	63.5	M	69.0	5
149	68.2	63.5	M	67.0	5
149	68.2	63.5	M	65.5	5
149	68.2	63.5	F	64.5	5
150	68.0	62.5	M	68.5	1
151	68.7	62.0	M	67.7	2
151	68.7	62.0	F	61.7	2
152	68.0	62.5	M	66.5	1
153	68.0	61.0	M	68.5	5
153	68.0	61.0	M	68.0	5
153	68.0	61.0	M	64.0	5
153	68.0	61.0	F	63.5	5
153	68.0	61.0	F	63.0	5
154	68.0	60.2	M	66.7	1
155	68.0	60.0	M	64.0	7
155	68.0	60.0	F	61.0	7
155	68.0	60.0	F	61.0	7
155	68.0	60.0	F	60.0	7
155	68.0	60.0	F	60.0	7
155	68.0	60.0	F	60.0	7
155	68.0	60.0	F	56.0	7
156	68.0	60.0	M	67.5	4
156	68.0	60.0	M	67.0	4
156	68.0	60.0	M	66.5	4
156	68.0	60.0	F	60.0	4
157	68.5	59.0	M	69.0	1
158	68.0	59.0	M	68.0	10
158	68.0	59.0	M	65.0	10
158	68.0	59.0	M	64.7	10
158	68.0	59.0	M	64.0	10
158	68.0	59.0	M	64.0	10
158	68.0	59.0	M	63.0	10
158	68.0	59.0	F	65.0	10
158	68.0	59.0	F	65.0	10
158	68.0	59.0	F	62.0	10
158	68.0	59.0	F	61.0	10
159	67.0	66.2	M	72.7	5
159	67.0	66.2	M	72.7	5
159	67.0	66.2	M	71.5	5
159	67.0	66.2	F	65.5	5
159	67.0	66.2	F	63.5	5
160	67.0	66.5	M	71.0	1
162	67.0	65.0	M	69.7	6
162	67.0	65.0	M	67.5	6
162	67.0	65.0	F	65.5	6
162	67.0	65.0	F	65.0	6
162	67.0	65.0	F	64.5	6
162	67.0	65.0	F	63.5	6
163	67.0	65.5	M	70.0	5
163	67.0	65.5	M	69.0	5
163	67.0	65.5	F	65.5	5
163	67.0	65.5	F	65.5	5
163	67.0	65.5	F	63.0	5
164	67.0	65.5	M	70.0	4
164	67.0	65.5	M	67.7	4
164	67.0	65.5	F	63.0	4
164	67.0	65.5	F	60.0	4
165	67.0	65.0	M	65.0	3
165	67.0	65.0	F	62.0	3
165	67.0	65.0	F	62.0	3
166	67.5	65.0	M	71.0	11
166	67.5	65.0	M	69.0	11
166	67.5	65.0	F	64.0	11
166	67.5	65.0	F	64.0	11
166	67.5	65.0	F	63.0	11
166	67.5	65.0	F	63.0	11
166	67.5	65.0	F	63.0	11
166	67.5	65.0	F	63.0	11
166	67.5	65.0	F	63.0	11
166	67.5	65.0	F	62.5	11
166	67.5	65.0	F	62.0	11
167	67.0	64.0	M	71.5	4
167	67.0	64.0	M	70.0	4
167	67.0	64.0	M	67.0	4
167	67.0	64.0	M	67.0	4
168	67.0	63.5	M	71.0	8
168	67.0	63.5	M	70.2	8
168	67.0	63.5	M	69.2	8
168	67.0	63.5	M	68.5	8
168	67.0	63.5	M	68.0	8
168	67.0	63.5	M	67.0	8
168	67.0	63.5	M	65.5	8
168	67.0	63.5	F	63.5	8
169	67.0	63.0	M	69.0	3
169	67.0	63.0	M	68.0	3
169	67.0	63.0	F	63.0	3
170	67.5	62.0	M	70.0	5
170	67.5	62.0	M	69.5	5
170	67.5	62.0	M	69.0	5
170	67.5	62.0	M	68.5	5
170	67.5	62.0	F	66.0	5
171	67.0	61.0	M	67.0	1
172	66.0	67.0	M	70.5	8
172	66.0	67.0	M	70.5	8
172	66.0	67.0	M	67.0	8
172	66.0	67.0	M	66.0	8
172	66.0	67.0	M	66.0	8
172	66.0	67.0	F	62.0	8
172	66.0	67.0	F	62.0	8
172	66.0	67.0	F	61.5	8
173	66.0	67.0	M	72.0	9
173	66.0	67.0	M	65.0	9
173	66.0	67.0	M	65.0	9
173	66.0	67.0	F	67.0	9
173	66.0	67.0	F	64.0	9
173	66.0	67.0	F	64.0	9
173	66.0	67.0	F	62.0	9
173	66.0	67.0	F	60.0	9
173	66.0	67.0	F	60.0	9
174	66.0	66.0	M	66.0	5
174	66.0	66.0	M	65.0	5
174	66.0	66.0	F	67.0	5
174	66.0	66.0	F	66.5	5
174	66.0	66.0	F	65.5	5
175	66.0	66.0	M	72.0	6
175	66.0	66.0	M	68.0	6
175	66.0	66.0	F	66.0	6
175	66.0	66.0	F	65.0	6
175	66.0	66.0	F	62.0	6
175	66.0	66.0	F	61.0	6
176	66.5	65.0	M	68.7	8
176	66.5	65.0	M	68.5	8
176	66.5	65.0	M	66.5	8
176	66.5	65.0	M	64.5	8
176	66.5	65.0	F	62.5	8
176	66.5	65.0	F	60.5	8
176	66.5	65.0	F	60.5	8
176	66.5	65.0	F	57.5	8
177	66.0	65.5	M	72.0	5
177	66.0	65.5	M	71.0	5
177	66.0	65.5	M	67.0	5
177	66.0	65.5	F	66.0	5
177	66.0	65.5	F	65.0	5
178	66.0	63.0	M	70.0	1
179	66.0	63.5	F	64.5	2
179	66.0	63.5	F	62.0	2
180	66.5	63.0	M	67.2	6
180	66.5	63.0	M	67.0	6
180	66.5	63.0	M	65.0	6
180	66.5	63.0	F	65.0	6
180	66.5	63.0	F	65.0	6
180	66.5	63.0	F	63.0	6
181	66.5	62.5	M	70.0	7
181	66.5	62.5	M	68.0	7
181	66.5	62.5	F	63.5	7
181	66.5	62.5	F	62.5	7
181	66.5	62.5	F	62.5	7
181	66.5	62.5	F	62.5	7
181	66.5	62.5	F	62.5	7
182	66.0	61.5	M	70.0	1
183	66.0	60.0	M	68.0	4
183	66.0	60.0	M	67.0	4
183	66.0	60.0	M	65.0	4
183	66.0	60.0	F	60.0	4
184	66.0	60.0	M	65.0	1
185	66.0	59.0	M	68.0	15
185	66.0	59.0	M	67.0	15
185	66.0	59.0	M	66.5	15
185	66.0	59.0	M	66.0	15
185	66.0	59.0	M	65.7	15
185	66.0	59.0	M	65.5	15
185	66.0	59.0	M	65.0	15
185	66.0	59.0	F	65.0	15
185	66.0	59.0	F	64.0	15
185	66.0	59.0	F	63.0	15
185	66.0	59.0	F	62.0	15
185	66.0	59.0	F	61.0	15
185	66.0	59.0	F	60.0	15
185	66.0	59.0	F	58.0	15
185	66.0	59.0	F	57.0	15
186	65.0	67.0	M	66.5	4
186	65.0	67.0	M	66.0	4
186	65.0	67.0	M	66.0	4
186	65.0	67.0	F	65.0	4
187	65.0	67.0	F	63.0	1
188	65.0	66.0	M	63.0	4
188	65.0	66.0	F	63.0	4
188	65.0	66.0	F	63.0	4
188	65.0	66.0	F	60.0	4
190	65.0	65.0	M	69.0	9
190	65.0	65.0	M	68.0	9
190	65.0	65.0	M	68.0	9
190	65.0	65.0	F	65.0	9
190	65.0	65.0	F	65.0	9
190	65.0	65.0	F	62.0	9
190	65.0	65.0	F	62.0	9
190	65.0	65.0	F	61.0	9
190	65.0	65.0	F	59.0	9
191	65.0	65.5	M	70.7	2
191	65.0	65.5	F	65.5	2
192	65.0	65.0	M	69.2	6
192	65.0	65.0	M	69.0	6
192	65.0	65.0	M	68.0	6
192	65.0	65.0	M	67.7	6
192	65.0	65.0	F	64.5	6
192	65.0	65.0	F	60.5	6
193	65.0	64.0	M	67.0	6
193	65.0	64.0	M	67.0	6
193	65.0	64.0	F	64.0	6
193	65.0	64.0	F	64.0	6
193	65.0	64.0	F	62.5	6
193	65.0	64.0	F	60.5	6
194	65.0	63.0	M	70.0	2
194	65.0	63.0	F	63.0	2
195	65.0	63.0	M	66.0	3
195	65.0	63.0	M	66.0	3
195	65.0	63.0	F	63.0	3
196	65.5	63.0	M	71.0	4
196	65.5	63.0	M	71.0	4
196	65.5	63.0	M	69.0	4
196	65.5	63.0	F	63.5	4
197	65.5	60.0	M	68.0	5
197	65.5	60.0	M	68.0	5
197	65.5	60.0	M	67.0	5
197	65.5	60.0	M	67.0	5
197	65.5	60.0	F	62.0	5
198	64.0	64.0	M	71.5	7
198	64.0	64.0	M	68.0	7
198	64.0	64.0	F	65.5	7
198	64.0	64.0	F	64.0	7
198	64.0	64.0	F	62.0	7
198	64.0	64.0	F	62.0	7
198	64.0	64.0	F	61.0	7
199	64.0	64.0	M	70.5	7
199	64.0	64.0	M	68.0	7
199	64.0	64.0	F	67.0	7
199	64.0	64.0	F	65.0	7
199	64.0	64.0	F	64.0	7
199	64.0	64.0	F	64.0	7
199	64.0	64.0	F	60.0	7
200	64.0	63.0	M	64.5	1
201	64.0	60.0	M	66.0	2
201	64.0	60.0	F	60.0	2
203	62.0	66.0	M	64.0	3
203	62.0	66.0	F	62.0	3
203	62.0	66.0	F	61.0	3
204	62.5	63.0	M	66.5	2
204	62.5	63.0	F	57.0	2
136A	68.5	65.0	M	72.0	8
136A	68.5	65.0	M	70.5	8
136A	68.5	65.0	M	68.7	8
136A	68.5	65.0	M	68.5	8
136A	68.5	65.0	M	67.7	8
136A	68.5	65.0	F	64.0	8
136A	68.5	65.0	F	63.5	8
136A	68.5	65.0	F	63.0	8

• Let’s plot the data and fit a linear model of child’s height versus father’s height in the two sex groups

Data plotting

# Scatterplot with regression fit of child's height vs. father's height for each sex, sex type is represented by shape and color
plot <- qplot(father,
              height, 
      data=Galton, 
      shape=sex, 
      color=sex
      ) +
  geom_smooth(method="lm", 
      formula=y~x,
      se=FALSE
      ) + 
  ggtitle("Regression of Child's Height on Fathers' Height"
          ) +
  xlab("Father's Height"
       ) +
  ylab("Child's Height")
plot

# Alternate plotting method using ggplot2
# p <- ggplot(Galton, aes(x = father, y = height, colour = sex))
# p <- p + geom_point()
# p <- p + geom_smooth(aes(group=sex), method="lm", fullrange=FALSE)
# p <- p + ggtitle("Galton Data 1885")
# p

• Another graphic is the facet plot
• Rather than putting the two groups in the same plot we separate then into two facets

plot <- plot + facet_grid(. ~ sex)
plot

Main Effects Model Fitting

• The fit of the linear model within the two sex groups is obtained with a main effects model as follows;

g1 <- lm(height ~ father + sex, data = Galton)
summary(g1)

## 
## Call:
## lm(formula = height ~ father + sex, data = Galton)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -9.3708 -1.4808  0.0192  1.5616  9.4153 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 34.46113    2.13628   16.13   <2e-16 ***
## father       0.42782    0.03079   13.90   <2e-16 ***
## sexM         5.17604    0.15211   34.03   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 2.277 on 895 degrees of freedom
## Multiple R-squared:  0.5971, Adjusted R-squared:  0.5962 
## F-statistic: 663.2 on 2 and 895 DF,  p-value: < 2.2e-16

summary(g1)$r.square

## [1] 0.5971034

Residual Plots

Let’s check the residual plot and the normal Q-Q plot of the residuals

library("ggplot2")
mod <- fortify(g1)

plot1 <- qplot(.fitted, .stdresid, data=mod) + 
  geom_hline(yintercept = c(-2, 0, 2), color = c(2,1,2), linetype="dashed")
plot2 <- qplot(sample =.stdresid, data = mod, geom = "qq") + geom_abline()

library("gridExtra")

## 
## Attaching package: 'gridExtra'

## The following object is masked from 'package:dplyr':
## 
##     combine

grid.arrange(plot1, plot2, nrow = 1)

Observations : - From the QQ plot of the residual values, we do see the data to be normally distributed. - We see quite a few outliers, and some departure from normality

• Note the use of the ggplot2::fortify() function, it combines all the data with the model calculations, you can explore what is does with str(mod) and View(mod)

Interaction Model Fitting

• We note from the scatterplot matrix, the slopes of the regression lines for the two groups may not be the same
• This means that the appropriate fit could be an interaction model
• Fit the following interaction model

g2 <- lm(height ~ father*sex, data = Galton)
summary(g2)

## 
## Call:
## lm(formula = height ~ father * sex, data = Galton)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -9.3774 -1.4857  0.0088  1.6017  9.3987 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 35.58523    2.87662  12.370   <2e-16 ***
## father       0.41160    0.04148   9.923   <2e-16 ***
## sexM         2.67368    4.28926   0.623    0.533    
## father:sexM  0.03615    0.06192   0.584    0.560    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 2.278 on 894 degrees of freedom
## Multiple R-squared:  0.5973, Adjusted R-squared:  0.5959 
## F-statistic: 441.9 on 3 and 894 DF,  p-value: < 2.2e-16

summary(g2)$r.square

## [1] 0.5972569

Residual Plots

Let’s check the residual plot and the normal Q-Q plot of the residuals

library("ggplot2")
mod <- fortify(g2)
plot1 <- qplot(.fitted, .stdresid, data=mod) + 
  geom_hline(yintercept = c(-2, 0, 2), color = c(2,1,2), linetype="dashed")
plot2 <- qplot(sample =.stdresid, data = mod, geom = "qq") + geom_abline()

library("gridExtra")
grid.arrange(plot1, plot2, nrow = 1)

### More data modeling

• Another interaction model with \(sex \times father\) and \(sex \times mother\)

g3 <- lm(height ~ sex*(father + mother), data = Galton)
summary(g3)

## 
## Call:
## lm(formula = height ~ sex * (father + mother), data = Galton)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -9.5305 -1.4399  0.1257  1.4638  9.0968 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 16.61023    3.91658   4.241 2.46e-05 ***
## sexM         2.78965    5.51014   0.506    0.613    
## father       0.40072    0.03931  10.195  < 2e-16 ***
## mother       0.30746    0.04560   6.742 2.81e-11 ***
## sexM:father  0.01103    0.05883   0.188    0.851    
## sexM:mother  0.02609    0.06277   0.416    0.678    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 2.156 on 892 degrees of freedom
## Multiple R-squared:  0.6398, Adjusted R-squared:  0.6377 
## F-statistic: 316.8 on 5 and 892 DF,  p-value: < 2.2e-16

Observations : - We see a much better \(R^2\) value here : 0.6377 but it is not a significant correlation value.