Assignment 6
Jose Miguel Botero C, Karen Sofía Guerrero B, Juan José Gutierrez L, Juan Felipe Peña O, Marcela Mejía M
2022-06-16
DATASET: hprice2
pacman::p_load(tidyverse,Lock5Data,ISLR,nycflights13,wooldridge,expss,hablar,rio,rstatix,ggpubr)
wooldridge::hprice2## price crime nox rooms dist radial proptax stratio lowstat lprice
## 1 24000 0.006 5.38 6.57 4.09 1 29.6 15.3 4.98 10.085809
## 2 21599 0.027 4.69 6.42 4.97 2 24.2 17.8 9.14 9.980402
## 3 34700 0.027 4.69 7.18 4.97 2 24.2 17.8 4.03 10.454495
## 4 33400 0.032 4.58 7.00 6.06 3 22.2 18.7 2.94 10.416311
## 5 36199 0.069 4.58 7.15 6.06 3 22.2 18.7 5.33 10.496787
## 6 28701 0.030 4.58 6.43 6.06 3 22.2 18.7 5.21 10.264688
## 7 22900 0.088 5.24 6.01 5.56 5 31.1 15.2 12.43 10.038892
## 8 27100 0.145 5.24 6.17 5.95 5 31.1 15.2 19.15 10.207289
## 9 16500 0.211 5.24 5.63 6.08 5 31.1 15.2 29.93 9.711116
## 10 18900 0.170 5.24 6.00 6.59 5 31.1 15.2 17.10 9.846917
## 11 15000 0.225 5.24 6.38 6.35 5 31.1 15.2 20.45 9.615806
## 12 18900 0.117 5.24 6.01 6.23 5 31.1 15.2 13.27 9.846917
## 13 21700 0.094 5.24 5.89 5.45 5 31.1 15.2 15.71 9.985067
## 14 20400 0.630 5.38 5.95 4.71 4 30.7 21.0 8.26 9.923290
## 15 18200 0.638 5.38 6.10 4.46 4 30.7 21.0 10.26 9.809176
## 16 19900 0.627 5.38 5.83 4.50 4 30.7 21.0 8.47 9.898475
## 17 23100 1.054 5.38 5.93 4.50 4 30.7 21.0 6.58 10.047588
## 18 17500 0.784 5.38 5.99 4.26 4 30.7 21.0 14.67 9.769957
## 19 20200 0.803 5.38 5.46 3.80 4 30.7 21.0 11.69 9.913438
## 20 18200 0.726 5.38 5.73 3.80 4 30.7 21.0 11.28 9.809176
## 21 13600 1.252 5.38 5.57 3.80 4 30.7 21.0 21.02 9.517825
## 22 19600 0.852 5.38 5.96 4.01 4 30.7 21.0 13.83 9.883285
## 23 15200 1.232 5.38 6.14 3.98 4 30.7 21.0 18.72 9.629050
## 24 14500 0.988 5.38 5.81 4.10 4 30.7 21.0 19.88 9.581903
## 25 15600 0.750 5.38 5.92 4.40 4 30.7 21.0 16.30 9.655026
## 26 13900 0.841 5.38 5.60 4.45 4 30.7 21.0 16.51 9.539644
## 27 16600 0.672 5.38 5.81 4.68 4 30.7 21.0 14.81 9.717158
## 28 14800 0.956 5.38 6.05 4.45 4 30.7 21.0 17.28 9.602383
## 29 18400 0.773 5.38 6.49 4.45 4 30.7 21.0 12.80 9.820106
## 30 21000 1.002 5.38 6.67 4.23 4 30.7 21.0 11.98 9.952278
## 31 12700 1.131 5.38 5.69 4.23 4 30.7 21.0 22.60 9.449357
## 32 14500 1.355 5.38 6.07 4.17 4 30.7 21.0 13.04 9.581903
## 33 13200 1.388 5.38 5.95 3.99 4 30.7 21.0 27.71 9.487972
## 34 13100 1.152 5.38 5.70 3.79 4 30.7 21.0 18.35 9.480368
## 35 13500 1.613 5.38 6.10 3.76 4 30.7 21.0 20.34 9.510445
## 36 18900 0.064 4.99 5.93 3.36 5 27.9 19.2 9.68 9.846917
## 37 20000 0.097 4.99 5.84 3.38 5 27.9 19.2 11.41 9.903487
## 38 13668 0.080 4.99 5.85 3.93 5 27.9 19.2 8.77 9.522813
## 39 24701 0.175 4.99 5.97 3.85 5 27.9 19.2 10.13 10.114599
## 40 30801 0.028 4.28 6.59 5.40 3 25.2 18.3 4.32 10.335302
## 41 34899 0.034 4.28 7.02 5.40 3 25.2 18.3 1.98 10.460214
## 42 26601 0.127 4.48 6.77 5.72 3 23.3 17.9 4.84 10.188704
## 43 25301 0.141 4.48 6.17 5.72 3 23.3 17.9 5.81 10.138599
## 44 24701 0.159 4.48 6.21 5.72 3 23.3 17.9 7.44 10.114599
## 45 21200 0.123 4.48 6.07 5.72 3 23.3 17.9 9.55 9.961757
## 46 19300 0.171 4.48 5.68 5.10 3 23.3 17.9 10.21 9.867861
## 47 20000 0.188 4.48 5.79 5.10 3 23.3 17.9 14.15 9.903487
## 48 16600 0.229 4.48 6.03 5.69 3 23.3 17.9 18.80 9.717158
## 49 14400 0.254 4.48 5.40 5.87 3 23.3 17.9 30.81 9.574984
## 50 19400 0.220 4.48 5.60 6.09 3 23.3 17.9 16.20 9.873029
## 51 19700 0.089 4.39 5.96 6.81 4 24.3 16.8 13.45 9.888374
## 52 20500 0.043 4.39 6.11 6.81 4 24.3 16.8 9.43 9.928180
## 53 22620 0.054 4.39 6.51 6.81 4 24.3 16.8 5.28 10.026589
## 54 23400 0.050 4.39 6.00 6.81 4 24.3 21.1 8.43 10.060492
## 55 18900 0.014 4.10 5.89 7.32 3 46.9 17.9 14.80 9.846917
## 56 35401 0.013 4.03 7.25 8.70 5 22.6 17.3 4.81 10.474495
## 57 24701 0.021 4.10 6.38 9.19 2 31.3 15.1 5.77 10.114599
## 58 32562 0.014 4.11 6.82 8.32 5 25.6 19.7 3.95 10.390902
## 59 23300 0.154 4.53 6.14 7.81 8 28.4 19.7 6.86 10.056209
## 60 19600 0.103 4.53 5.93 6.93 8 28.4 19.7 9.22 9.883285
## 61 18700 0.149 4.53 5.74 6.76 8 28.4 19.7 13.15 9.836279
## 62 16000 0.172 4.53 5.97 6.82 8 28.4 19.7 14.44 9.680344
## 63 22199 0.110 4.53 6.46 7.23 8 28.4 19.7 6.73 10.007803
## 64 24999 0.127 4.53 6.76 7.98 8 28.4 19.7 9.50 10.126591
## 65 33001 0.020 4.16 7.10 9.22 3 21.6 18.6 8.05 10.404293
## 66 23501 0.036 3.98 6.29 6.61 4 33.7 16.1 4.67 10.064798
## 67 19400 0.044 3.98 5.79 6.61 4 33.7 16.1 10.24 9.873029
## 68 22000 0.058 4.09 5.88 6.50 4 34.5 18.9 8.10 9.998797
## 69 17400 0.136 4.09 5.59 6.50 4 34.5 18.9 13.09 9.764226
## 70 20900 0.128 4.09 5.88 6.50 4 34.5 18.9 8.79 9.947504
## 71 24200 0.088 4.13 6.42 5.29 4 30.5 19.2 6.72 10.094108
## 72 21700 0.159 4.13 5.96 5.29 4 30.5 19.2 9.88 9.985067
## 73 22800 0.092 4.13 6.06 5.29 4 30.5 19.2 5.52 10.034515
## 74 23400 0.195 4.13 6.24 5.29 4 30.5 19.2 7.54 10.060492
## 75 24101 0.079 4.37 6.27 4.25 5 39.8 18.7 6.78 10.090009
## 76 21400 0.095 4.37 6.29 4.50 5 39.8 18.7 8.94 9.971147
## 77 20000 0.102 4.37 6.28 4.05 5 39.8 18.7 11.97 9.903487
## 78 20800 0.087 4.37 6.14 4.09 5 39.8 18.7 10.27 9.942708
## 79 21200 0.056 4.37 6.23 5.01 5 39.8 18.7 12.34 9.961757
## 80 20300 0.084 4.37 5.87 4.50 5 39.8 18.7 9.10 9.918376
## 81 28001 0.041 4.26 6.73 5.40 4 28.1 19.0 5.29 10.239996
## 82 23899 0.045 4.26 6.62 5.40 4 28.1 19.0 7.22 10.081592
## 83 24800 0.037 4.26 6.30 5.40 4 28.1 19.0 6.72 10.118599
## 84 22900 0.036 4.26 6.17 5.40 4 28.1 19.0 7.51 10.038892
## 85 23899 0.051 4.49 6.39 4.78 3 24.7 18.5 9.62 10.081592
## 86 26601 0.057 4.49 6.63 4.44 3 24.7 18.5 6.53 10.188704
## 87 22501 0.052 4.49 6.01 4.43 3 24.7 18.5 12.86 10.021315
## 88 22199 0.072 4.49 6.12 3.75 3 24.7 18.5 8.44 10.007803
## 89 23600 0.057 4.89 7.01 3.42 2 27.0 17.8 5.50 10.069002
## 90 28701 0.053 4.89 7.08 3.41 2 27.0 17.8 5.70 10.264688
## 91 22600 0.047 4.89 6.42 3.09 2 27.0 17.8 8.81 10.025705
## 92 22000 0.039 4.89 6.40 3.09 2 27.0 17.8 8.20 9.998797
## 93 22900 0.042 4.64 6.44 3.67 4 27.0 18.2 8.16 10.038892
## 94 24999 0.029 4.64 6.21 3.67 4 27.0 18.2 6.21 10.126591
## 95 20600 0.043 4.64 6.25 3.61 4 27.0 18.2 10.59 9.933046
## 96 28399 0.122 4.45 6.62 3.50 2 27.6 18.0 6.65 10.254109
## 97 21400 0.115 4.45 6.16 3.50 2 27.6 18.0 11.34 9.971147
## 98 38700 0.121 4.45 8.07 3.50 2 27.6 18.0 4.21 10.563595
## 99 43800 0.082 4.45 7.82 3.50 2 27.6 18.0 3.57 10.687389
## 100 33200 0.069 4.45 7.42 3.50 2 27.6 18.0 6.19 10.410305
## 101 27499 0.149 5.20 6.73 2.78 5 38.4 20.9 9.42 10.221905
## 102 26500 0.114 5.20 6.78 2.86 5 38.4 20.9 7.67 10.184900
## 103 18600 0.229 5.20 6.40 2.71 5 38.4 20.9 10.63 9.830916
## 104 19300 0.212 5.20 6.14 2.71 5 38.4 20.9 13.44 9.867861
## 105 20100 0.140 5.20 6.17 2.42 5 38.4 20.9 12.33 9.908475
## 106 19500 0.133 5.20 5.85 2.11 5 38.4 20.9 16.47 9.878170
## 107 19500 0.171 5.20 5.84 2.21 5 38.4 20.9 18.66 9.878170
## 108 20400 0.131 5.20 6.13 2.12 5 38.4 20.9 14.09 9.923290
## 109 19800 0.128 5.20 6.47 2.43 5 38.4 20.9 12.27 9.893437
## 110 19400 0.264 5.20 6.23 2.55 5 38.4 20.9 15.55 9.873029
## 111 21700 0.108 5.47 6.19 2.78 5 38.4 20.9 13.00 9.985067
## 112 22800 0.101 5.47 6.71 2.68 6 43.2 17.8 10.16 10.034515
## 113 18800 0.123 5.47 5.91 2.35 6 43.2 17.8 16.21 9.841612
## 114 18700 0.222 5.47 6.09 2.63 6 43.2 17.8 17.09 9.836279
## 115 18500 0.142 5.47 6.25 2.26 6 43.2 17.8 10.45 9.825526
## 116 18300 0.171 5.47 5.93 2.46 6 43.2 17.8 15.76 9.814656
## 117 21200 0.132 5.47 6.18 2.73 6 43.2 17.8 12.04 9.961757
## 118 19200 0.151 5.47 6.02 2.75 6 43.2 17.8 10.30 9.862665
## 119 20400 0.131 5.47 5.87 2.48 6 43.2 17.8 15.37 9.923290
## 120 19300 0.145 5.81 5.73 2.76 6 43.2 17.8 13.61 9.867861
## 121 22000 0.069 5.81 5.87 2.26 2 18.8 19.1 39.07 9.998797
## 122 20300 0.072 5.81 6.00 2.20 2 18.8 19.1 14.27 9.918376
## 123 20500 0.093 5.81 5.96 2.09 2 18.8 19.1 17.93 9.928180
## 124 17300 0.150 5.81 5.86 1.94 2 18.8 19.1 25.41 9.758462
## 125 18800 0.098 5.81 5.88 2.01 2 18.8 19.1 17.58 9.841612
## 126 21400 0.169 5.81 5.99 1.99 2 18.8 19.1 14.81 9.971147
## 127 15700 0.387 6.24 5.61 1.76 2 18.8 19.1 27.26 9.661416
## 128 16200 0.259 6.24 5.69 1.79 4 43.7 21.2 17.19 9.692766
## 129 18000 0.325 6.24 6.43 1.81 4 43.7 21.2 15.39 9.798127
## 130 14300 0.881 6.24 5.64 1.98 4 43.7 21.2 18.34 9.568015
## 131 19200 0.340 6.24 6.46 2.12 4 43.7 21.2 12.60 9.862665
## 132 19600 1.193 6.24 6.33 2.27 4 43.7 21.2 12.26 9.883285
## 133 23001 0.590 6.24 6.37 2.33 4 43.7 21.2 11.12 10.043293
## 134 18400 0.330 6.24 5.82 2.47 4 43.7 21.2 15.03 9.820106
## 135 15600 0.976 6.24 5.76 2.35 4 43.7 21.2 17.31 9.655026
## 136 18100 0.558 6.24 6.33 2.11 4 43.7 21.2 16.96 9.803667
## 137 17400 0.323 6.24 5.94 1.97 4 43.7 21.2 16.90 9.764226
## 138 17100 0.352 6.24 6.45 1.85 4 43.7 21.2 14.59 9.746834
## 139 13300 0.250 6.24 5.86 1.67 4 43.7 21.2 21.32 9.495520
## 140 17800 0.545 6.24 6.15 1.67 4 43.7 21.2 18.46 9.786954
## 141 14000 0.291 6.24 6.17 1.61 4 43.7 21.2 24.16 9.546813
## 142 14400 1.629 6.24 5.02 1.44 4 43.7 21.2 34.41 9.574984
## 143 13400 3.321 8.71 5.40 1.32 5 40.3 14.7 26.82 9.503010
## 144 15600 4.097 8.71 5.47 1.41 5 40.3 14.7 26.42 9.655026
## 145 11800 2.780 8.71 4.90 1.35 5 40.3 14.7 29.29 9.375854
## 146 13800 2.379 8.71 6.13 1.42 5 40.3 14.7 27.80 9.532424
## 147 15600 2.155 8.71 5.63 1.52 5 40.3 14.7 16.65 9.655026
## 148 14600 2.369 8.71 4.93 1.46 5 40.3 14.7 29.53 9.588777
## 149 17794 2.331 8.71 5.19 1.53 5 40.3 14.7 28.32 9.786616
## 150 15400 2.734 8.71 5.60 1.53 5 40.3 14.7 21.45 9.642123
## 151 21500 1.657 8.71 6.12 1.62 5 40.3 14.7 14.10 9.975808
## 152 19600 1.496 8.71 5.40 1.59 5 40.3 14.7 13.28 9.883285
## 153 15300 1.127 8.71 5.01 1.61 5 40.3 14.7 12.12 9.635608
## 154 19400 3.149 8.71 5.71 1.62 5 40.3 14.7 15.79 9.873029
## 155 17000 1.414 8.71 6.13 1.75 5 40.3 14.7 15.12 9.740969
## 156 15600 3.535 8.71 6.15 1.75 5 40.3 14.7 15.02 9.655026
## 157 13100 2.447 8.71 5.27 1.74 5 40.3 14.7 16.14 9.480368
## 158 41299 1.224 6.05 6.94 1.88 5 40.3 14.7 4.59 10.628593
## 159 24299 1.343 6.05 6.07 1.76 5 40.3 14.7 6.43 10.098190
## 160 23300 1.425 8.71 6.51 1.77 5 40.3 14.7 7.39 10.056209
## 161 27000 1.273 6.05 6.25 1.80 5 40.3 14.7 5.50 10.203592
## 162 50001 1.463 6.05 7.49 1.97 5 40.3 14.7 1.73 10.819798
## 163 50001 1.834 6.05 7.80 2.04 5 40.3 14.7 1.92 10.819798
## 164 50001 1.519 6.05 8.37 2.16 5 40.3 14.7 3.32 10.819798
## 165 22700 2.242 6.05 5.85 2.42 5 40.3 14.7 11.64 10.030120
## 166 24999 2.924 6.05 6.10 2.28 5 40.3 14.7 9.81 10.126591
## 167 50001 2.010 6.05 7.93 2.05 5 40.3 14.7 3.70 10.819798
## 168 23799 1.800 6.05 5.88 2.43 5 40.3 14.7 12.14 10.077399
## 169 23799 2.300 6.05 6.32 2.10 5 40.3 14.7 11.09 10.077399
## 170 22299 2.450 6.05 6.40 2.26 5 40.3 14.7 11.32 10.012297
## 171 17400 1.207 6.05 5.87 2.43 5 40.3 14.7 14.43 9.764226
## 172 19100 2.314 6.05 5.88 2.39 5 40.3 14.7 12.03 9.857444
## 173 23100 0.139 5.10 5.57 2.60 5 29.6 16.6 14.69 10.047588
## 174 23600 0.092 5.10 6.42 2.65 5 29.6 16.6 9.04 10.069002
## 175 22600 0.084 5.10 5.86 2.70 5 29.6 16.6 9.64 10.025705
## 176 29401 0.067 5.10 6.55 3.13 5 29.6 16.6 5.33 10.288784
## 177 23200 0.070 5.10 6.02 3.55 5 29.6 16.6 10.11 10.051908
## 178 24600 0.054 5.10 6.31 3.30 5 29.6 16.6 6.29 10.110501
## 179 29900 0.066 5.10 6.86 2.91 5 29.6 16.6 6.92 10.305614
## 180 37201 0.058 4.88 6.98 2.83 3 19.3 17.8 5.04 10.524091
## 181 39799 0.066 4.88 7.76 2.74 3 19.3 17.8 7.56 10.591597
## 182 36199 0.069 4.88 6.14 2.60 3 19.3 17.8 9.45 10.496787
## 183 37900 0.091 4.88 7.15 2.70 3 19.3 17.8 4.82 10.542706
## 184 32500 0.100 4.88 6.56 2.85 3 19.3 17.8 5.68 10.388995
## 185 26399 0.083 4.88 5.60 2.99 3 19.3 17.8 13.98 10.181082
## 186 29599 0.060 4.88 6.15 3.28 3 19.3 17.8 13.15 10.295496
## 187 50001 0.056 4.88 7.83 3.20 3 19.3 17.8 4.45 10.819798
## 188 32000 0.079 4.37 6.78 3.79 5 39.8 15.2 6.68 10.373491
## 189 29801 0.126 4.37 6.56 4.57 5 39.8 15.2 4.56 10.302298
## 190 34899 0.084 4.37 7.18 4.57 5 39.8 15.2 5.39 10.460214
## 191 37001 0.091 4.37 6.95 6.48 5 39.8 15.2 5.10 10.518701
## 192 30501 0.069 4.37 6.74 6.48 5 39.8 15.2 4.69 10.325515
## 193 36399 0.087 4.37 7.18 6.48 5 39.8 15.2 2.87 10.502296
## 194 31101 0.022 4.01 6.80 6.22 1 26.5 15.6 5.03 10.344995
## 195 29100 0.014 4.01 6.60 6.22 1 26.5 15.6 4.38 10.278494
## 196 50001 0.014 4.22 7.87 5.65 4 25.5 14.4 2.97 10.819798
## 197 33300 0.040 4.04 7.29 7.31 2 32.9 12.6 4.08 10.413313
## 198 30300 0.047 4.04 7.11 7.31 2 32.9 12.6 8.61 10.318903
## 199 34600 0.038 4.04 7.27 7.31 2 32.9 12.6 6.62 10.451609
## 200 34899 0.032 4.03 6.97 7.65 3 40.2 17.0 4.56 10.460214
## 201 32899 0.018 4.03 7.13 7.65 3 40.2 17.0 4.45 10.401197
## 202 24101 0.034 4.15 6.16 6.27 2 34.8 14.7 7.43 10.090009
## 203 42302 0.022 4.15 7.61 6.27 2 34.8 14.7 3.11 10.652590
## 204 48499 0.035 4.16 7.85 5.12 4 22.4 14.7 3.81 10.789298
## 205 50001 0.020 4.16 8.03 5.12 4 22.4 14.7 2.88 10.819798
## 206 22600 0.136 4.89 5.89 3.95 4 27.7 18.6 10.87 10.025705
## 207 24399 0.230 4.89 6.33 4.35 4 27.7 18.6 10.97 10.102298
## 208 22501 0.252 4.89 5.78 4.35 4 27.7 18.6 18.06 10.021315
## 209 24399 0.136 4.89 6.06 4.24 4 27.7 18.6 14.66 10.102298
## 210 20000 0.436 4.89 5.34 3.87 4 27.7 18.6 23.09 9.903487
## 211 21700 0.174 4.89 5.96 3.88 4 27.7 18.6 17.27 9.985067
## 212 19300 0.376 4.89 5.40 3.67 4 27.7 18.6 23.98 9.867861
## 213 22400 0.217 4.89 5.81 3.65 4 27.7 18.6 16.03 10.016816
## 214 28099 0.141 4.89 6.37 3.95 4 27.7 18.6 9.38 10.243489
## 215 23699 0.290 4.89 5.41 3.59 4 27.7 18.6 29.55 10.073188
## 216 24999 0.198 4.89 6.18 3.95 4 27.7 18.6 9.47 10.126591
## 217 23300 0.046 5.50 5.89 3.11 5 27.6 16.4 13.51 10.056209
## 218 28701 0.070 5.50 6.64 3.42 5 27.6 16.4 9.69 10.264688
## 219 21500 0.111 5.50 5.95 2.89 5 27.6 16.4 17.92 9.975808
## 220 23001 0.114 5.50 6.37 3.36 5 27.6 16.4 10.50 10.043293
## 221 26699 0.358 5.07 6.95 2.86 8 30.7 16.4 9.71 10.192382
## 222 21700 0.408 5.07 6.16 3.05 8 30.7 17.4 21.46 9.985067
## 223 27499 0.624 5.07 6.88 3.27 8 30.7 17.4 9.93 10.221905
## 224 30101 0.615 5.07 6.62 3.27 8 30.7 17.4 7.60 10.312314
## 225 44802 0.315 5.04 8.27 2.89 8 30.7 17.4 4.14 10.710008
## 226 50001 0.523 5.04 8.72 2.89 8 30.7 17.4 4.92 10.819798
## 227 37602 0.382 5.04 8.04 3.22 8 30.7 17.4 3.13 10.534813
## 228 31600 0.412 5.04 7.16 3.22 8 30.7 17.4 6.36 10.360912
## 229 46700 0.298 5.04 7.69 3.38 8 30.7 17.4 3.92 10.751499
## 230 31499 0.442 5.04 6.55 3.38 8 30.7 17.4 3.76 10.357711
## 231 24299 0.537 5.04 5.98 3.67 8 30.7 17.4 11.65 10.098190
## 232 31701 0.463 5.04 7.41 3.67 8 30.7 17.4 5.25 10.364103
## 233 41702 0.575 5.07 8.34 3.84 8 30.7 17.4 2.47 10.638305
## 234 48301 0.331 5.07 8.25 3.65 8 30.7 17.4 3.95 10.785208
## 235 29001 0.448 5.07 6.73 3.65 8 30.7 17.4 8.05 10.275085
## 236 24000 0.330 5.07 6.09 3.65 8 30.7 17.4 10.88 10.085809
## 237 25099 0.521 5.07 6.63 4.15 8 30.7 17.4 9.54 10.130583
## 238 31499 0.512 5.07 7.36 4.15 8 30.7 17.4 4.73 10.357711
## 239 23699 0.082 4.28 6.48 6.19 6 30.0 16.6 6.36 10.073188
## 240 23300 0.093 4.28 6.61 6.19 6 30.0 16.6 7.37 10.056209
## 241 22000 0.113 4.28 6.90 6.34 6 30.0 16.6 11.38 9.998797
## 242 20100 0.106 4.28 6.09 6.34 6 30.0 16.6 12.40 9.908475
## 243 22199 0.103 4.28 6.36 7.04 6 30.0 16.6 11.22 10.007803
## 244 23699 0.126 4.28 6.39 7.04 6 30.0 16.6 5.19 10.073188
## 245 17600 0.206 4.31 5.59 7.95 7 33.0 19.1 12.50 9.775654
## 246 18500 0.191 4.31 5.60 7.95 7 33.0 19.1 18.46 9.825526
## 247 24299 0.340 4.31 6.11 8.06 7 33.0 19.1 9.16 10.098190
## 248 20500 0.197 4.31 6.23 8.06 7 33.0 19.1 10.15 9.928180
## 249 24499 0.164 4.31 6.43 7.83 7 33.0 19.1 9.52 10.106387
## 250 26200 0.191 4.31 6.72 7.83 7 33.0 19.1 6.56 10.173514
## 251 24399 0.140 4.31 6.49 7.40 7 33.0 19.1 5.90 10.102298
## 252 24800 0.214 4.31 6.44 7.40 7 33.0 19.1 3.59 10.118599
## 253 29599 0.082 4.31 6.96 8.91 7 33.0 19.1 3.53 10.295496
## 254 42800 0.369 4.31 8.26 8.91 7 33.0 19.1 3.54 10.664293
## 255 21900 0.048 3.92 6.11 9.22 1 31.5 16.4 6.57 9.994242
## 256 20900 0.035 3.92 5.88 9.22 1 31.5 16.4 9.25 9.947504
## 257 43998 0.015 3.94 7.45 6.34 3 24.4 15.9 3.11 10.691899
## 258 50001 0.612 6.47 8.70 1.80 5 26.4 13.0 5.12 10.819798
## 259 36001 0.664 6.47 7.33 1.89 5 26.4 13.0 7.79 10.491302
## 260 30101 0.657 6.47 6.84 2.01 5 26.4 13.0 6.90 10.312314
## 261 33799 0.540 6.47 7.20 2.11 5 26.4 13.0 9.59 10.428186
## 262 43101 0.534 6.47 7.52 2.14 5 26.4 13.0 7.26 10.671302
## 263 48801 0.520 6.47 8.40 2.29 5 26.4 13.0 5.91 10.795506
## 264 30999 0.825 6.47 7.33 2.08 5 26.4 13.0 11.25 10.341710
## 265 36501 0.550 6.47 7.21 1.93 5 26.4 13.0 8.10 10.505095
## 266 22800 0.762 6.47 5.56 1.99 5 26.4 13.0 10.45 10.034515
## 267 30699 0.786 6.47 7.01 2.13 5 26.4 13.0 14.79 10.331985
## 268 50001 0.578 5.75 8.30 2.42 5 26.4 13.0 7.44 10.819798
## 269 43499 0.540 5.75 7.47 2.87 5 26.4 13.0 3.16 10.680493
## 270 20700 0.091 4.64 5.92 3.92 3 22.3 18.6 13.65 9.937889
## 271 21100 0.299 4.64 5.86 4.43 3 22.3 18.6 13.00 9.957028
## 272 25200 0.162 4.64 6.24 4.43 3 22.3 18.6 6.59 10.134600
## 273 24399 0.115 4.64 6.54 3.92 3 22.3 18.6 7.73 10.102298
## 274 35200 0.222 4.64 7.69 4.37 3 22.3 18.6 6.58 10.468801
## 275 32400 0.056 4.47 6.76 4.08 4 25.4 17.6 3.53 10.385914
## 276 32000 0.096 4.47 6.85 4.27 4 25.4 17.6 2.98 10.373491
## 277 33200 0.105 4.47 7.27 4.79 4 25.4 17.6 6.05 10.410305
## 278 33100 0.061 4.47 6.83 4.86 4 25.4 17.6 4.16 10.407289
## 279 29100 0.080 4.47 6.48 4.14 4 25.4 17.6 7.19 10.278494
## 280 35102 0.210 4.43 6.81 4.10 5 21.6 14.9 4.85 10.466013
## 281 45401 0.036 4.43 7.82 4.69 5 21.6 14.9 3.76 10.723289
## 282 35401 0.037 4.43 6.97 5.24 5 21.6 14.9 4.59 10.474495
## 283 46000 0.061 4.43 7.64 5.21 5 21.6 14.9 3.01 10.736397
## 284 50001 0.015 4.01 7.92 5.89 1 19.8 13.6 3.16 10.819798
## 285 32199 0.009 4.00 7.09 7.31 1 28.5 15.3 7.85 10.379691
## 286 22000 0.011 3.89 6.45 7.31 1 30.0 15.3 8.23 9.998797
## 287 20100 0.020 3.85 6.23 9.09 1 24.1 18.2 12.93 9.908475
## 288 23200 0.039 4.05 6.21 7.32 6 29.3 16.6 7.14 10.051908
## 289 22299 0.046 4.05 6.31 7.32 6 29.3 16.6 7.60 10.012297
## 290 24800 0.043 4.05 6.56 7.32 6 29.3 16.6 9.51 10.118599
## 291 28501 0.035 4.11 6.86 5.12 4 24.5 19.2 3.33 10.257694
## 292 37298 0.079 4.11 7.15 5.12 4 24.5 19.2 3.56 10.526695
## 293 27901 0.036 4.11 6.63 5.12 4 24.5 19.2 4.70 10.236418
## 294 23899 0.083 4.37 6.13 5.50 4 28.9 16.0 8.58 10.081592
## 295 21700 0.082 4.37 6.01 5.50 4 28.9 16.0 10.40 9.985067
## 296 28601 0.129 4.37 6.68 5.96 4 28.9 16.0 6.27 10.261197
## 297 27100 0.054 4.37 6.55 5.96 4 28.9 16.0 7.39 10.207289
## 298 20300 0.141 4.37 5.79 6.32 4 28.9 16.0 15.84 9.918376
## 299 22501 0.065 4.00 6.34 7.83 5 35.8 14.8 4.97 10.021315
## 300 29001 0.056 4.00 7.04 7.83 5 35.8 14.8 4.74 10.275085
## 301 24800 0.044 4.00 6.87 7.83 5 35.8 14.8 6.07 10.118599
## 302 22000 0.035 4.33 6.59 5.49 7 32.9 16.1 9.50 9.998797
## 303 26399 0.093 4.33 6.49 5.49 7 32.9 16.1 8.67 10.181082
## 304 33100 0.100 4.72 6.98 5.49 7 32.9 16.1 4.86 10.407289
## 305 36098 0.055 4.72 7.24 4.02 7 22.2 18.4 6.93 10.493993
## 306 28399 0.055 4.72 6.62 3.37 7 22.2 18.4 8.93 10.254109
## 307 33400 0.075 4.72 7.42 3.10 7 22.2 18.4 6.47 10.416311
## 308 28201 0.049 4.72 6.85 3.18 7 22.2 18.4 7.53 10.247112
## 309 22800 0.493 5.44 6.63 3.32 4 30.4 18.4 4.54 10.034515
## 310 20300 0.349 5.44 5.97 3.10 4 30.4 18.4 9.97 9.918376
## 311 16100 2.635 5.44 4.97 2.52 4 30.4 18.4 12.64 9.686575
## 312 22099 0.790 5.44 6.12 2.64 4 30.4 18.4 5.98 10.003287
## 313 19400 0.262 5.44 6.02 2.83 4 30.4 18.4 11.72 9.873029
## 314 21600 0.269 5.44 6.27 3.26 4 30.4 18.4 7.90 9.980449
## 315 23799 0.369 5.44 6.57 3.60 4 30.4 18.4 9.28 10.077399
## 316 16200 0.254 5.44 5.70 3.95 4 30.4 18.4 11.50 9.692766
## 317 17800 0.318 5.44 5.91 4.00 4 30.4 18.4 18.33 9.786954
## 318 19800 0.245 5.44 5.78 4.03 4 30.4 18.4 15.94 9.893437
## 319 23100 0.402 5.44 6.38 3.53 4 30.4 18.4 10.36 10.047588
## 320 21000 0.475 5.44 6.11 4.00 4 30.4 18.4 12.73 9.952278
## 321 23799 0.168 4.93 6.43 4.54 5 28.7 19.6 7.20 10.077399
## 322 23100 0.182 4.93 6.38 4.54 5 28.7 19.6 6.87 10.047588
## 323 20400 0.351 4.93 6.04 4.72 5 28.7 19.6 7.70 9.923290
## 324 18500 0.284 4.93 5.71 4.72 5 28.7 19.6 11.74 9.825526
## 325 24999 0.341 4.93 6.41 4.72 5 28.7 19.6 6.12 10.126591
## 326 24600 0.192 4.93 6.43 5.42 5 28.7 19.6 5.08 10.110501
## 327 23001 0.303 4.93 6.31 5.42 5 28.7 19.6 6.15 10.043293
## 328 22199 0.241 4.93 6.08 5.42 5 28.7 19.6 12.79 10.007803
## 329 19300 0.066 4.60 5.87 5.21 4 43.0 16.9 9.97 9.867861
## 330 22600 0.067 4.60 6.33 5.21 4 43.0 16.9 7.34 10.025705
## 331 19800 0.045 4.60 6.14 5.87 4 43.0 16.9 9.09 9.893437
## 332 17100 0.050 4.38 5.71 6.64 1 30.4 16.9 12.43 9.746834
## 333 19400 0.035 4.38 6.03 7.27 1 30.4 16.9 7.83 9.873029
## 334 22199 0.051 5.15 6.32 6.46 5 22.4 20.2 5.68 10.007803
## 335 20700 0.037 5.15 6.31 6.46 5 22.4 20.2 6.75 9.937889
## 336 21100 0.040 5.15 6.04 5.99 5 22.4 20.2 8.01 9.957028
## 337 19500 0.034 5.15 5.87 5.23 5 22.4 20.2 9.80 9.878170
## 338 18500 0.030 5.15 5.89 5.61 5 22.4 20.2 10.56 9.825526
## 339 20548 0.033 5.15 6.06 4.81 5 22.4 20.2 8.51 9.930519
## 340 19000 0.055 5.15 5.98 4.81 5 22.4 20.2 9.74 9.852194
## 341 18700 0.062 5.15 5.97 4.81 5 22.4 20.2 9.29 9.836279
## 342 32778 0.013 4.42 7.24 7.04 1 28.4 15.5 5.49 10.397512
## 343 16500 0.025 5.18 6.54 6.27 1 42.2 15.9 8.65 9.711116
## 344 23899 0.025 4.84 6.70 5.73 5 37.0 17.6 7.18 10.081592
## 345 31201 0.030 4.84 6.87 6.47 5 37.0 17.6 4.61 10.348206
## 346 17500 0.031 4.42 6.01 8.01 3 35.2 18.8 10.53 9.769957
## 347 17200 0.062 4.42 5.90 8.01 3 35.2 18.8 12.67 9.752665
## 348 23100 0.019 4.29 6.52 8.54 4 35.1 17.9 6.36 10.047588
## 349 24499 0.015 4.35 6.63 8.34 4 28.0 17.0 5.99 10.106387
## 350 26601 0.029 4.29 6.94 8.79 1 33.5 19.7 5.89 10.188704
## 351 22900 0.062 4.29 6.49 8.79 1 33.5 19.7 5.98 10.038892
## 352 24101 0.079 4.11 6.58 10.71 4 41.1 18.3 5.49 10.090009
## 353 18600 0.072 4.11 5.88 10.71 4 41.1 18.3 7.79 9.830916
## 354 30101 0.017 4.10 6.73 12.13 5 18.7 17.0 4.50 10.312314
## 355 18200 0.043 4.13 5.66 10.59 4 33.4 22.0 8.05 9.809176
## 356 20600 0.107 4.13 5.94 10.59 4 33.4 22.0 5.57 9.933046
## 357 17794 8.983 7.70 6.21 2.12 24 66.6 20.2 17.60 9.786616
## 358 21700 3.850 7.70 6.39 2.51 24 66.6 20.2 13.27 9.985067
## 359 22700 5.202 7.70 6.13 2.72 24 66.6 20.2 11.48 10.030120
## 360 22600 4.261 7.70 6.11 2.51 24 66.6 20.2 12.67 10.025705
## 361 24999 4.542 7.70 6.40 2.52 24 66.6 20.2 7.79 10.126591
## 362 19900 3.837 7.70 6.25 2.30 24 66.6 20.2 14.19 9.898475
## 363 20800 3.678 7.70 5.36 2.10 24 66.6 20.2 10.19 9.942708
## 364 16800 4.222 7.70 5.80 1.90 24 66.6 20.2 14.64 9.729135
## 365 21900 3.474 7.18 8.78 1.90 24 66.6 20.2 5.29 9.994242
## 366 27499 4.556 7.18 3.56 1.61 24 66.6 20.2 7.12 10.221905
## 367 21900 3.697 7.18 4.96 1.75 24 66.6 20.2 14.00 9.994242
## 368 23100 13.522 6.31 3.86 1.51 24 66.6 20.2 13.33 10.047588
## 369 50001 4.898 6.31 4.97 1.33 24 66.6 20.2 3.26 10.819798
## 370 50001 5.670 6.31 6.68 1.36 24 66.6 20.2 3.73 10.819798
## 371 50001 6.539 6.31 7.02 1.20 24 66.6 20.2 2.96 10.819798
## 372 50001 9.232 6.31 6.22 1.17 24 66.6 20.2 9.53 10.819798
## 373 50001 8.267 6.68 5.87 1.13 24 66.6 20.2 8.88 10.819798
## 374 13800 11.108 6.68 4.91 1.17 24 66.6 20.2 34.77 9.532424
## 375 13800 18.498 6.68 4.14 1.14 24 66.6 20.2 37.97 9.532424
## 376 15000 19.609 6.71 7.31 1.32 24 66.6 20.2 13.44 9.615806
## 377 13900 15.288 6.71 6.65 1.34 24 66.6 20.2 23.24 9.539644
## 378 13300 9.823 6.71 6.79 1.36 24 66.6 20.2 21.24 9.495520
## 379 13100 23.648 6.71 6.38 1.39 24 66.6 20.2 23.69 9.480368
## 380 10200 17.867 6.71 6.22 1.39 24 66.6 20.2 21.78 9.230143
## 381 10400 88.976 6.71 6.97 1.42 24 66.6 20.2 17.21 9.249561
## 382 10900 15.874 6.71 6.54 1.52 24 66.6 20.2 21.08 9.296518
## 383 11300 9.187 7.00 5.54 1.58 24 66.6 20.2 23.60 9.332558
## 384 12300 7.992 7.00 5.52 1.53 24 66.6 20.2 24.56 9.417355
## 385 8800 20.085 7.00 4.37 1.44 24 66.6 20.2 30.63 9.082507
## 386 7200 16.812 7.00 5.28 1.43 24 66.6 20.2 30.81 8.881836
## 387 10500 24.394 7.00 4.65 1.47 24 66.6 20.2 28.28 9.259130
## 388 7400 22.597 7.00 5.00 1.52 24 66.6 20.2 31.99 8.909235
## 389 10200 14.334 7.00 4.88 1.59 24 66.6 20.2 30.62 9.230143
## 390 11500 8.152 7.00 5.39 1.73 24 66.6 20.2 20.85 9.350102
## 391 15100 6.962 7.00 5.71 1.93 24 66.6 20.2 17.11 9.622450
## 392 23200 5.293 7.00 6.05 2.17 24 66.6 20.2 18.76 10.051908
## 393 9700 11.578 7.00 5.04 1.77 24 66.6 20.2 25.68 9.179881
## 394 13800 8.645 6.93 6.19 1.79 24 66.6 20.2 15.17 9.532424
## 395 12700 13.360 6.93 5.89 1.78 24 66.6 20.2 16.35 9.449357
## 396 13100 8.717 6.93 6.47 1.73 24 66.6 20.2 17.12 9.480368
## 397 12500 5.872 6.93 6.40 1.68 24 66.6 20.2 19.37 9.433484
## 398 8500 7.672 6.93 5.75 1.63 24 66.6 20.2 19.92 9.047821
## 399 5000 38.352 6.93 5.45 1.49 24 66.6 20.2 30.59 8.517193
## 400 6300 9.917 6.93 5.85 1.50 24 66.6 20.2 29.97 8.748305
## 401 5600 25.046 6.93 5.99 1.59 24 66.6 20.2 27.04 8.630522
## 402 7200 14.236 6.93 6.34 1.57 24 66.6 20.2 20.32 8.881836
## 403 12100 9.596 6.93 6.40 1.64 24 66.6 20.2 20.31 9.400961
## 404 8300 24.802 6.93 5.35 1.70 24 66.6 20.2 19.77 9.024011
## 405 8500 41.529 6.93 5.53 1.61 24 66.6 20.2 27.38 9.047821
## 406 5000 67.921 6.93 5.68 1.43 24 66.6 20.2 22.98 8.517193
## 407 11900 20.716 6.59 4.14 1.18 24 66.6 20.2 23.34 9.384294
## 408 27901 11.951 6.59 5.61 1.29 24 66.6 20.2 12.13 10.236418
## 409 17200 7.404 5.97 5.62 1.45 24 66.6 20.2 26.40 9.752665
## 410 27499 14.438 5.97 6.85 1.47 24 66.6 20.2 19.78 10.221905
## 411 15000 51.136 5.97 5.76 1.41 24 66.6 20.2 10.11 9.615806
## 412 17200 14.051 5.97 6.66 1.53 24 66.6 20.2 21.22 9.752665
## 413 17900 18.811 5.97 4.63 1.55 24 66.6 20.2 34.37 9.792556
## 414 16300 26.656 5.97 5.15 1.59 24 66.6 20.2 20.08 9.698920
## 415 7012 45.746 6.93 4.52 1.66 24 66.6 20.2 36.98 8.855378
## 416 7200 18.085 6.79 6.43 1.83 24 66.6 20.2 29.05 8.881836
## 417 7500 10.834 6.79 6.78 1.82 24 66.6 20.2 25.79 8.922658
## 418 10400 25.941 6.79 5.30 1.65 24 66.6 20.2 26.64 9.249561
## 419 8800 73.534 6.79 5.96 1.80 24 66.6 20.2 20.62 9.082507
## 420 8400 11.812 7.18 6.82 1.79 24 66.6 20.2 22.74 9.035987
## 421 16700 11.087 7.18 6.41 1.86 24 66.6 20.2 15.02 9.723164
## 422 14200 7.023 7.18 6.01 1.87 24 66.6 20.2 15.70 9.560997
## 423 20800 12.048 6.14 5.65 1.95 24 66.6 20.2 14.10 9.942708
## 424 13400 7.050 6.14 6.10 2.02 24 66.6 20.2 23.29 9.503010
## 425 11700 8.792 5.84 5.56 2.06 24 66.6 20.2 17.16 9.367344
## 426 8300 15.860 6.79 5.90 1.91 24 66.6 20.2 24.39 9.024011
## 427 10200 12.247 5.84 5.84 2.00 24 66.6 20.2 15.69 9.230143
## 428 10900 37.662 6.79 6.20 1.86 24 66.6 20.2 14.52 9.296518
## 429 11000 7.367 6.79 6.19 1.94 24 66.6 20.2 21.52 9.305651
## 430 9500 9.339 6.79 6.38 1.97 24 66.6 20.2 24.08 9.159047
## 431 14500 8.492 5.84 6.35 2.05 24 66.6 20.2 17.64 9.581903
## 432 14100 10.062 5.84 6.83 2.09 24 66.6 20.2 19.69 9.553930
## 433 16100 6.444 5.84 6.42 2.20 24 66.6 20.2 12.03 9.686575
## 434 14300 5.581 7.13 6.44 2.32 24 66.6 20.2 16.22 9.568015
## 435 11700 13.913 7.13 6.21 2.22 24 66.6 20.2 15.17 9.367344
## 436 13400 11.160 7.40 6.63 2.12 24 66.6 20.2 23.27 9.503010
## 437 9600 14.421 7.40 6.46 2.00 24 66.6 20.2 18.05 9.169518
## 438 8700 15.177 7.40 6.15 1.91 24 66.6 20.2 26.45 9.071078
## 439 8400 13.678 7.40 5.93 1.82 24 66.6 20.2 34.02 9.035987
## 440 12800 9.391 7.40 5.63 1.82 24 66.6 20.2 22.88 9.457200
## 441 10500 22.051 7.40 5.82 1.87 24 66.6 20.2 22.11 9.259130
## 442 17100 9.724 7.40 6.41 2.07 24 66.6 20.2 19.52 9.746834
## 443 18400 5.666 7.40 6.22 2.00 24 66.6 20.2 16.59 9.820106
## 444 15400 9.967 7.40 6.48 1.98 24 66.6 20.2 18.85 9.642123
## 445 10800 12.802 7.40 5.85 1.90 24 66.6 20.2 23.79 9.287301
## 446 11800 10.672 7.40 6.46 1.99 24 66.6 20.2 23.98 9.375854
## 447 14900 6.288 7.40 6.34 2.07 24 66.6 20.2 17.79 9.609117
## 448 12600 9.925 7.40 6.25 2.20 24 66.6 20.2 16.44 9.441452
## 449 14100 9.329 7.13 6.18 2.26 24 66.6 20.2 18.13 9.553930
## 450 13000 7.526 7.13 6.42 2.19 24 66.6 20.2 19.31 9.472705
## 451 13400 6.718 7.13 6.75 2.32 24 66.6 20.2 17.44 9.503010
## 452 15200 5.441 7.13 6.65 2.36 24 66.6 20.2 17.73 9.629050
## 453 16100 5.090 7.13 6.30 2.37 24 66.6 20.2 17.27 9.686575
## 454 17794 8.248 7.13 7.39 2.45 24 66.6 20.2 16.74 9.786616
## 455 14900 9.514 7.13 6.73 2.50 24 66.6 20.2 18.71 9.609117
## 456 14100 4.752 7.13 6.52 2.44 24 66.6 20.2 18.13 9.553930
## 457 12700 4.669 7.13 5.98 2.58 24 66.6 20.2 19.01 9.449357
## 458 13500 8.201 7.13 5.94 2.78 24 66.6 20.2 16.94 9.510445
## 459 14900 7.752 7.13 6.30 2.78 24 66.6 20.2 16.23 9.609117
## 460 20000 6.801 7.13 6.08 2.72 24 66.6 20.2 14.70 9.903487
## 461 16400 4.812 7.13 6.70 2.60 24 66.6 20.2 16.42 9.705036
## 462 17700 3.693 7.13 6.37 2.57 24 66.6 20.2 14.65 9.781320
## 463 19500 6.655 7.13 6.32 2.73 24 66.6 20.2 13.99 9.878170
## 464 20200 5.821 7.13 6.51 2.80 24 66.6 20.2 10.29 9.913438
## 465 21400 7.839 6.55 6.21 2.96 24 66.6 20.2 13.22 9.971147
## 466 19900 3.166 6.55 5.76 3.07 24 66.6 20.2 14.13 9.898475
## 467 19000 3.775 6.55 5.95 2.87 24 66.6 20.2 17.15 9.852194
## 468 19100 4.422 5.84 6.00 2.54 24 66.6 20.2 21.32 9.857444
## 469 17052 15.576 5.80 5.93 2.91 24 66.6 20.2 18.13 9.744022
## 470 20100 13.075 5.80 5.71 2.82 24 66.6 20.2 14.67 9.908475
## 471 19900 4.349 5.80 6.17 3.03 24 66.6 20.2 16.29 9.898475
## 472 19600 4.038 5.32 6.23 3.10 24 66.6 20.2 12.87 9.883285
## 473 23200 3.569 5.80 6.44 2.90 24 66.6 20.2 14.36 10.051908
## 474 29801 4.647 6.14 6.98 2.53 24 66.6 20.2 11.66 10.302298
## 475 13800 8.056 5.84 5.43 2.43 24 66.6 20.2 18.14 9.532424
## 476 13300 6.393 5.84 6.16 2.21 24 66.6 20.2 24.10 9.495520
## 477 16700 4.871 6.14 6.48 2.31 24 66.6 20.2 18.68 9.723164
## 478 12000 15.023 6.14 5.30 2.10 24 66.6 20.2 24.91 9.392662
## 479 14600 10.233 6.14 6.18 2.17 24 66.6 20.2 18.03 9.588777
## 480 21400 14.334 6.14 6.23 1.95 24 66.6 20.2 13.11 9.971147
## 481 23001 5.824 5.32 6.24 3.42 24 66.6 20.2 10.74 10.043293
## 482 23699 5.708 5.32 6.75 3.33 24 66.6 20.2 7.74 10.073188
## 483 24999 5.731 5.32 7.06 3.41 24 66.6 20.2 6.35 10.126591
## 484 21800 2.818 5.32 5.76 4.10 24 66.6 20.2 10.42 9.989665
## 485 20600 2.379 5.83 5.87 3.72 24 66.6 20.2 13.34 9.933046
## 486 21200 3.674 5.83 6.31 3.99 24 66.6 20.2 10.58 9.961757
## 487 19100 5.692 5.83 6.11 3.55 24 66.6 20.2 14.98 9.857444
## 488 20600 4.836 5.83 5.90 3.15 24 66.6 20.2 11.45 9.933046
## 489 15200 0.151 6.09 5.45 1.82 4 71.1 20.1 18.06 9.629050
## 490 7000 0.183 6.09 5.41 1.76 4 71.1 20.1 23.97 8.853665
## 491 8100 0.207 6.09 5.09 1.82 4 71.1 20.1 29.68 8.999619
## 492 13600 0.106 6.09 5.98 1.87 4 71.1 20.1 18.07 9.517825
## 493 20100 0.111 6.09 5.98 2.11 4 71.1 20.1 13.35 9.908475
## 494 21800 0.173 5.85 5.71 2.38 6 39.1 19.2 12.01 9.989665
## 495 24499 0.280 5.85 5.93 2.38 6 39.1 19.2 13.59 10.106387
## 496 23100 0.179 5.85 5.67 2.80 6 39.1 19.2 17.60 10.047588
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## 500 17500 0.178 5.85 5.57 2.40 6 39.1 19.2 15.10 9.769957
## 501 16800 0.224 5.85 6.03 2.50 6 39.1 19.2 14.33 9.729135
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## 506 11900 0.047 5.73 6.03 2.51 1 27.3 21.0 7.88 9.384294
## lnox lproptax
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## 506 1.745715 5.609472hp2 <- hprice2- Using data from “hprice2” data set, estimate log (price) = f (log(dist)). Interpret the coefficients and the model fit. Is the sign of the estimate consistent with your expectation? Test the regression assumptions and comment on the results.
hp2 <- hp2 %>% dplyr::mutate(
ldist = (log(dist))
)
model_hp2 <- lm(lprice ~ ldist, data = hp2)
summary(model_hp2)##
## Call:
## lm(formula = lprice ~ ldist, data = hp2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.18184 -0.21302 -0.02242 0.16747 1.20554
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 9.57679 0.04033 237.479 <2e-16 ***
## ldist 0.30657 0.03091 9.919 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3747 on 504 degrees of freedom
## Multiple R-squared: 0.1633, Adjusted R-squared: 0.1617
## F-statistic: 98.38 on 1 and 504 DF, p-value: < 2.2e-16#In the linear regression model applied, a value of 9.57679 was obtained for the intercept, which indicates the log(price) when the log(dist)=0. On the other hand, a value of 0.30657 (positive slope) was obtained for the coefficient (ldist), which indicates that the log(price) can increase by that value percentage when the ldist increases by one percent. The p-values also obtained show that with a significance level of 0 ldist is statistically significant (In significance tests, ldist has a p-value of less than 5% so it is significant for the model). The value of R squared tell us that 16.33% of the variation in lprice is explained by the modelmodel.diag <- broom::augment(model_hp2)
model.diag## # A tibble: 506 × 8
## lprice ldist .fitted .resid .hat .sigma .cooksd .std.resid
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 10.1 1.41 10.0 0.0772 0.00231 0.375 0.0000492 0.206
## 2 9.98 1.60 10.1 -0.0879 0.00315 0.375 0.0000873 -0.235
## 3 10.5 1.60 10.1 0.386 0.00315 0.375 0.00168 1.03
## 4 10.4 1.80 10.1 0.287 0.00454 0.375 0.00134 0.768
## 5 10.5 1.80 10.1 0.368 0.00454 0.375 0.00220 0.983
## 6 10.3 1.80 10.1 0.136 0.00454 0.375 0.000300 0.363
## 7 10.0 1.72 10.1 -0.0638 0.00387 0.375 0.0000566 -0.171
## 8 10.2 1.78 10.1 0.0838 0.00439 0.375 0.000111 0.224
## 9 9.71 1.81 10.1 -0.419 0.00456 0.375 0.00288 -1.12
## 10 9.85 1.89 10.2 -0.308 0.00528 0.375 0.00180 -0.824
## # … with 496 more rowsggplot(model.diag, aes(ldist, lprice)) +
geom_point() +
stat_smooth(method = lm, se = FALSE) +
geom_segment(aes(xend = ldist, yend = .fitted), color = "purple", size = 0.3)## `geom_smooth()` using formula 'y ~ x'
#ASSUMPTIONS
plot(model_hp2)
plot(model_hp2,5)# Residual versus leverage plot
plot(model_hp2,4)# Cooks distance
plot(model_hp2,3)# Scale location plot, homocedasticity
plot(model_hp2,2)#normality
plot(model_hp2,1)#non-linear patterns
#RESIDUAL VS LEVERAGE PLOT
#This plot is used to identify influential observations. If any points in this plot fall outside of Cook’s distance (the dashed lines) then it is an influential observation. #SCALE LOCATION PLOT
#This plot is used to check the assumption of equal variance (also called “homoscedasticity”) among the residuals in our regression model. If the red line is roughly horizontal across the plot, then the assumption of equal variance is likely met,that is, the dispersion of the residuals is almost equal at all fitted values. For this graph we could say that the line is not that much horizontal, so we cannot assume there is homoscedasticity, #NORMALITY
#This plot is used to determine if the residuals of the regression model are normally distributed. If the points in this plot fall roughly along a straight diagonal line, then we can assume the residuals are normally distributed.With exception of some variations on the tails, we can assume the residuals are normally distributes, according to the plot.#NON-LINEAR PATTERNS
#This plot is used to determine if the residuals exhibit non-linear patterns. If the red line across the center of the plot is roughly horizontal then we can assume that the residuals follow a linear pattern. We can say the line is roughly horizontal, with curves along the edges, therefore, the residuals follow a linear patternDATASET: k401k
wooldridge::k401k## prate mrate totpart totelg age totemp sole ltotemp
## 1 26.1 0.21 1653 6322 8 8709 0 9.072112
## 2 100.0 1.42 262 262 6 315 1 5.752573
## 3 97.6 0.91 166 170 10 275 1 5.616771
## 4 100.0 0.42 257 257 7 500 0 6.214608
## 5 82.5 0.53 591 716 28 933 1 6.838405
## 6 100.0 1.82 92 92 7 143 1 4.962845
## 7 100.0 0.53 399 399 31 628 1 6.442540
## 8 92.5 0.34 210 227 13 823 0 6.712956
## 9 100.0 0.22 234 234 21 279 1 5.631212
## 10 96.8 0.60 120 124 10 141 1 4.948760
## 11 83.0 0.50 156 188 5 252 0 5.529429
## 12 100.0 1.11 187 187 20 237 1 5.468060
## 13 65.5 0.43 350 534 5 681 1 6.523562
## 14 84.9 0.51 1519 1790 10 2557 0 7.846590
## 15 100.0 0.19 150 150 7 187 1 5.231109
## 16 100.0 0.41 160 160 7 188 1 5.236442
## 17 100.0 0.84 3448 3448 13 4120 0 8.323608
## 18 77.6 0.46 225 290 15 341 0 5.831882
## 19 100.0 0.45 519 519 15 598 0 6.393591
## 20 100.0 1.13 176 176 8 273 1 5.609472
## 21 66.9 0.48 79 118 5 224 1 5.411646
## 22 100.0 0.39 270 270 7 415 0 6.028278
## 23 70.3 0.21 201 286 7 361 0 5.888878
## 24 100.0 0.95 381 381 23 422 0 6.045005
## 25 51.3 0.34 284 554 9 797 1 6.680855
## 26 61.3 0.36 171 279 15 2102 1 7.650645
## 27 88.3 0.96 3858 4371 28 4371 0 8.382747
## 28 100.0 0.87 143 143 8 143 1 4.962845
## 29 82.9 4.20 107 129 7 131 1 4.875197
## 30 77.8 0.08 770 990 6 1042 0 6.948897
## 31 100.0 0.91 179 179 6 312 1 5.743003
## 32 90.1 0.44 2803 3110 6 3543 0 8.172729
## 33 85.3 0.62 93 109 13 158 0 5.062595
## 34 100.0 0.28 425 425 7 458 0 6.126869
## 35 100.0 0.59 2027 2027 7 2442 0 7.800573
## 36 75.6 0.30 438 579 11 1721 0 7.450661
## 37 100.0 0.56 584 584 7 685 1 6.529419
## 38 100.0 0.65 1284 1284 5 1559 0 7.351800
## 39 100.0 1.31 109 109 37 297 1 5.693732
## 40 78.2 0.21 1017 1301 7 2125 0 7.661527
## 41 77.4 0.41 209 270 7 381 1 5.942800
## 42 100.0 0.23 145 145 6 405 0 6.003887
## 43 77.0 0.41 612 795 12 1125 0 7.025538
## 44 100.0 2.03 133 133 35 206 1 5.327876
## 45 98.9 0.52 275 278 42 297 0 5.693732
## 46 75.3 0.39 192 255 6 1024 0 6.931472
## 47 77.2 0.16 464 601 6 636 0 6.455199
## 48 100.0 0.99 542 542 9 622 0 6.432940
## 49 88.5 0.10 3107 3510 5 6428 0 8.768418
## 50 100.0 0.02 732 732 7 2284 0 7.733684
## 51 100.0 0.88 173 173 7 322 1 5.774551
## 52 42.5 0.29 316 744 37 775 0 6.652863
## 53 100.0 0.13 122 122 11 157 1 5.056246
## 54 100.0 1.59 390 390 32 446 0 6.100319
## 55 74.7 0.58 2307 3089 36 4067 1 8.310661
## 56 37.5 0.29 1136 3033 6 3351 0 8.117014
## 57 78.0 0.14 2332 2990 9 9080 1 9.113830
## 58 84.0 0.65 905 1078 31 1253 1 7.133296
## 59 100.0 2.39 179 179 6 179 1 5.187386
## 60 100.0 1.14 307 307 20 411 1 6.018593
## 61 84.9 0.41 686 808 7 1404 1 7.247081
## 62 79.5 0.22 1634 2055 5 2304 0 7.742402
## 63 100.0 0.45 118 118 5 149 1 5.003946
## 64 100.0 1.10 337 337 14 720 1 6.579251
## 65 95.8 0.63 113 118 6 130 0 4.867535
## 66 99.3 0.49 599 603 28 665 0 6.499787
## 67 81.2 0.15 108 133 7 231 1 5.442418
## 68 93.6 0.11 162 173 27 211 1 5.351858
## 69 88.1 0.24 222 252 8 425 1 6.052089
## 70 100.0 0.65 150 150 16 198 1 5.288267
## 71 100.0 1.35 285 285 10 287 0 5.659482
## 72 100.0 0.20 2311 2311 5 3062 0 8.026824
## 73 81.0 0.18 102 126 27 151 1 5.017280
## 74 100.0 1.17 101 101 8 247 0 5.509388
## 75 73.8 1.12 357 484 20 24656 1 10.112776
## 76 65.7 0.15 334 508 6 808 0 6.694562
## 77 94.9 1.66 1330 1402 27 2437 0 7.798523
## 78 38.1 0.20 69 181 6 529 1 6.270988
## 79 91.9 0.20 148 161 11 575 0 6.354370
## 80 35.6 0.19 678 1904 9 5102 0 8.537388
## 81 71.9 0.22 1252 1741 5 2896 0 7.971086
## 82 77.4 2.24 212 274 6 379 0 5.937536
## 83 100.0 0.62 163 163 11 253 1 5.533390
## 84 93.2 0.44 1915 2054 8 3400 1 8.131531
## 85 84.6 0.44 312 369 7 591 0 6.381816
## 86 90.3 0.47 940 1041 8 1102 0 7.004882
## 87 73.0 0.12 92 126 8 138 1 4.927254
## 88 86.3 0.44 320 371 7 482 0 6.177944
## 89 95.6 0.44 259 271 7 3661 1 8.205492
## 90 80.5 4.66 24772 30767 16 31973 0 10.372647
## 91 65.6 0.26 80 122 7 306 1 5.723585
## 92 37.7 0.35 251 665 8 1395 0 7.240650
## 93 78.4 0.23 254 324 6 391 0 5.968708
## 94 61.7 0.23 463 750 10 926 1 6.830874
## 95 58.7 0.25 2371 4039 14 4838 0 8.484257
## 96 81.1 0.41 189 233 8 424 1 6.049734
## 97 100.0 0.69 427 427 10 3209 1 8.073714
## 98 58.4 0.34 108 185 5 273 1 5.609472
## 99 34.2 0.21 230 672 5 798 1 6.682108
## 100 100.0 1.10 381 381 7 478 1 6.169611
## 101 100.0 0.51 203 203 9 597 1 6.391917
## 102 96.0 0.50 25828 26906 23 93165 0 11.442127
## 103 100.0 0.23 753 753 7 945 1 6.851185
## 104 100.0 0.90 934 934 7 989 0 6.896694
## 105 100.0 0.84 595 595 5 3076 0 8.031385
## 106 100.0 1.07 801 801 7 8546 0 9.053219
## 107 76.4 0.44 1794 2347 8 4230 1 8.349957
## 108 100.0 0.35 202 202 6 267 1 5.587249
## 109 92.7 0.32 127 137 7 162 0 5.087596
## 110 56.7 0.29 161 284 8 1588 0 7.370231
## 111 100.0 1.99 208 208 6 208 1 5.337538
## 112 78.7 0.13 207 263 7 359 1 5.883322
## 113 74.1 0.43 235 317 6 949 1 6.855409
## 114 45.5 0.07 276 606 7 710 1 6.565265
## 115 87.4 0.33 188 215 8 1162 1 7.057898
## 116 100.0 0.94 156 156 7 1249 1 7.130098
## 117 86.4 0.37 10149 11753 5 15602 0 9.655154
## 118 64.6 0.37 148 229 13 4228 1 8.349484
## 119 93.0 1.00 251 270 10 996 1 6.903747
## 120 89.5 0.53 213 238 15 377 1 5.932245
## 121 100.0 1.60 580 580 33 889 1 6.790097
## 122 100.0 2.40 154 154 40 199 1 5.293305
## 123 100.0 0.76 416 416 24 435 1 6.075346
## 124 68.6 0.45 177 258 18 301 0 5.707110
## 125 63.3 0.28 927 1465 8 2468 0 7.811163
## 126 100.0 0.70 1147 1147 25 2174 1 7.684324
## 127 89.6 0.38 7843 8756 19 19871 0 9.897017
## 128 88.8 0.40 4402 4956 10 19871 0 9.897017
## 129 58.6 0.18 184 314 7 644 0 6.467699
## 130 100.0 1.07 356 356 6 593 1 6.385194
## 131 100.0 0.20 3701 3701 33 6769 0 8.820108
## 132 100.0 0.62 241 241 7 373 1 5.921578
## 133 56.2 0.18 406 723 6 1035 0 6.942157
## 134 100.0 0.85 122 122 35 196 1 5.278115
## 135 61.8 0.45 792 1281 6 1843 0 7.519150
## 136 75.7 0.30 184 243 7 271 0 5.602119
## 137 100.0 0.39 104 104 27 207 1 5.332719
## 138 100.0 0.47 2014 2014 8 3511 0 8.163656
## 139 100.0 0.11 114 114 7 134 1 4.897840
## 140 100.0 0.83 206 206 31 290 1 5.669881
## 141 61.2 0.74 8322 13591 7 17986 0 9.797349
## 142 100.0 1.15 411 411 26 690 1 6.536692
## 143 100.0 0.60 556 556 16 891 0 6.792345
## 144 100.0 0.18 125 125 5 204 0 5.318120
## 145 68.0 0.25 385 566 5 879 0 6.778785
## 146 79.8 0.36 285 357 6 639 0 6.459905
## 147 59.4 0.30 368 620 5 903 0 6.805723
## 148 100.0 1.41 149 149 8 250 1 5.521461
## 149 61.6 0.20 178 289 8 599 0 6.395262
## 150 81.0 0.78 328 405 20 609 0 6.411819
## 151 33.5 0.46 85 254 9 425 1 6.052089
## 152 65.1 0.11 10327 15857 8 41926 0 10.643661
## 153 100.0 1.08 277 277 26 465 1 6.142037
## 154 83.7 0.31 1626 1943 24 2364 0 7.768110
## 155 89.8 0.17 115 128 7 225 0 5.416101
## 156 100.0 0.38 174 174 7 545 1 6.300786
## 157 75.8 0.26 424 559 7 780 0 6.659294
## 158 66.6 0.15 702 1054 9 1145 0 7.043160
## 159 85.1 0.10 549 645 29 1053 1 6.959399
## 160 100.0 0.53 231 231 5 278 0 5.627621
## 161 100.0 0.82 148 148 5 189 1 5.241747
## 162 90.5 0.44 344 380 19 479 1 6.171700
## 163 100.0 0.99 76 76 7 4198 1 8.342363
## 164 67.6 0.77 583 863 8 978 0 6.885509
## 165 100.0 4.06 343 343 7 3290 1 8.098643
## 166 75.0 0.20 645 860 11 1015 0 6.922644
## 167 100.0 0.74 250 250 25 441 1 6.089045
## 168 89.9 0.39 116 129 7 177 0 5.176150
## 169 100.0 0.43 596 596 11 781 1 6.660575
## 170 100.0 0.13 412 412 8 412 0 6.021023
## 171 100.0 0.21 235 235 20 768 0 6.643790
## 172 66.9 0.68 113 169 5 176 1 5.170484
## 173 89.3 0.53 536 600 18 790 1 6.672033
## 174 100.0 1.90 126 126 15 750 1 6.620073
## 175 81.5 0.84 4432 5440 8 10683 0 9.276409
## 176 80.9 0.42 5138 6353 13 7428 0 8.913012
## 177 87.6 0.63 99 113 20 154 1 5.036952
## 178 77.0 0.55 151 196 12 221 0 5.398163
## 179 99.5 0.96 219 220 7 256 1 5.545177
## 180 97.7 0.52 213 218 6 250 1 5.521461
## 181 100.0 4.31 292 292 23 429 0 6.061457
## 182 100.0 1.27 165 165 5 214 1 5.365976
## 183 58.8 0.32 1096 1864 9 8470 0 9.044286
## 184 100.0 0.56 293 293 6 412 1 6.021023
## 185 100.0 0.29 65 65 20 118 1 4.770685
## 186 93.1 0.57 511 549 9 584 1 6.369901
## 187 100.0 1.27 165 165 13 207 1 5.332719
## 188 100.0 0.35 175 175 19 207 1 5.332719
## 189 100.0 0.38 146 146 5 192 1 5.257495
## 190 100.0 0.66 121 121 19 207 0 5.332719
## 191 56.4 0.20 472 837 12 1522 1 7.327781
## 192 87.3 0.28 1832 2098 10 3450 1 8.146130
## 193 100.0 0.67 249 249 16 764 1 6.638568
## 194 22.1 0.11 166 752 7 3537 1 8.171034
## 195 48.6 0.19 402 828 5 1200 0 7.090077
## 196 100.0 0.50 166 166 7 247 1 5.509388
## 197 65.1 0.63 3205 4926 10 31859 0 10.369075
## 198 100.0 0.47 534 534 7 860 1 6.756932
## 199 83.4 0.44 2495 2991 32 5277 0 8.571113
## 200 100.0 0.78 152 152 11 389 1 5.963579
## 201 100.0 0.47 198 198 8 308 1 5.730100
## 202 55.7 0.20 141 253 6 307 0 5.726848
## 203 100.0 0.43 215 215 8 600 1 6.396930
## 204 100.0 1.80 139 139 12 204 1 5.318120
## 205 100.0 1.24 360 360 8 783 1 6.663133
## 206 100.0 3.16 247 247 11 268 1 5.590987
## 207 55.1 0.21 102 185 7 237 1 5.468060
## 208 100.0 1.25 99 99 9 151 0 5.017280
## 209 71.4 0.62 267 374 5 416 1 6.030685
## 210 78.3 0.50 382 488 7 654 1 6.483108
## 211 100.0 0.51 574 574 13 831 1 6.722630
## 212 100.0 0.77 306 306 11 545 1 6.300786
## 213 100.0 0.40 3030 3030 6 4075 0 8.312626
## 214 99.1 0.28 111 112 11 144 1 4.969813
## 215 100.0 1.02 560 560 8 2409 0 7.786967
## 216 78.5 0.34 197 251 9 264 1 5.575949
## 217 64.9 0.47 181 279 5 309 1 5.733341
## 218 77.5 0.60 110 142 7 190 1 5.247024
## 219 58.6 0.37 140 239 7 695 0 6.543912
## 220 100.0 0.19 142 142 5 171 1 5.141664
## 221 80.0 0.20 557 696 6 889 0 6.790097
## 222 100.0 0.47 409 409 6 796 1 6.679599
## 223 100.0 0.69 161 161 5 323 1 5.777652
## 224 100.0 1.23 265 265 6 265 1 5.579730
## 225 42.1 0.19 1217 2892 6 5036 0 8.524367
## 226 100.0 2.89 247 247 8 333 1 5.808143
## 227 73.4 0.40 91 124 5 173 1 5.153292
## 228 77.5 0.10 179 231 5 409 1 6.013715
## 229 100.0 0.55 852 852 5 852 1 6.747587
## 230 59.1 0.42 272 460 8 1521 1 7.327123
## 231 75.3 0.47 440 584 6 753 1 6.624065
## 232 92.2 0.62 379 411 17 468 1 6.148468
## 233 82.6 0.64 176 213 30 254 0 5.537334
## 234 89.8 0.23 132 147 24 540 0 6.291569
## 235 95.3 0.41 123 129 5 491 0 6.196444
## 236 47.3 0.42 156 330 7 384 0 5.950643
## 237 78.6 0.20 971 1236 5 4195 0 8.341649
## 238 75.5 0.24 880 1165 20 1306 0 7.174724
## 239 100.0 0.82 470 470 16 569 0 6.343881
## 240 90.7 0.40 165 182 10 268 0 5.590987
## 241 97.2 0.24 106 109 10 124 0 4.820282
## 242 60.6 0.19 197 325 6 975 1 6.882438
## 243 87.1 0.23 546 627 6 694 0 6.542472
## 244 100.0 0.96 93 93 15 104 1 4.644391
## 245 79.0 0.16 454 575 8 880 0 6.779922
## 246 100.0 1.70 257 257 7 307 1 5.726848
## 247 100.0 0.70 213 213 7 720 1 6.579251
## 248 100.0 0.67 104 104 7 116 1 4.753590
## 249 48.6 0.47 134 276 6 287 1 5.659482
## 250 100.0 1.34 115 115 23 194 1 5.267858
## 251 100.0 1.02 123 123 15 244 1 5.497168
## 252 92.7 0.22 102 110 9 174 1 5.159055
## 253 100.0 2.60 132 132 20 205 1 5.323010
## 254 100.0 0.17 163 163 23 394 0 5.976351
## 255 100.0 1.32 119 119 8 244 1 5.497168
## 256 68.7 0.07 572 833 22 833 0 6.725034
## 257 100.0 1.33 156 156 23 227 0 5.424950
## 258 100.0 1.44 97 97 16 306 1 5.723585
## 259 100.0 1.23 2097 2097 10 2868 0 7.961370
## 260 100.0 2.34 138 138 5 237 1 5.468060
## 261 100.0 2.62 51200 51200 17 51200 1 10.843494
## 262 100.0 0.39 136 136 14 334 1 5.811141
## 263 100.0 1.43 210 210 8 256 1 5.545177
## 264 100.0 0.05 234 234 17 1107 1 7.009409
## 265 100.0 4.64 114 114 6 185 1 5.220356
## 266 100.0 0.26 161 161 6 737 0 6.602588
## 267 100.0 2.51 244 244 5 244 1 5.497168
## 268 100.0 0.64 355 355 5 440 0 6.086775
## 269 100.0 0.88 403 403 5 437 0 6.079933
## 270 100.0 1.30 203 203 8 253 1 5.533390
## 271 100.0 0.59 159 159 5 183 1 5.209486
## 272 94.5 0.29 596 631 7 631 0 6.447306
## 273 100.0 0.52 257 257 7 259 1 5.556828
## 274 100.0 0.17 2972 2972 6 4197 0 8.342125
## 275 100.0 0.47 389 389 5 531 1 6.274762
## 276 78.0 0.56 568 728 12 3924 0 8.274867
## 277 88.5 0.43 1899 2146 6 2153 0 7.674617
## 278 100.0 0.15 261 261 7 739 0 6.605298
## 279 99.9 0.36 847 848 8 976 1 6.883462
## 280 100.0 0.37 637 637 22 751 0 6.621406
## 281 100.0 0.20 100 100 5 147 1 4.990433
## 282 75.7 0.22 2572 3399 9 14204 0 9.561279
## 283 100.0 1.66 224 224 21 332 0 5.805135
## 284 66.6 0.37 251 377 7 1524 0 7.329094
## 285 75.9 0.42 472 622 7 812 0 6.699501
## 286 93.8 0.20 105 112 6 142 0 4.955827
## 287 86.6 0.11 596 688 10 919 0 6.823286
## 288 100.0 1.07 103 103 9 106 1 4.663439
## 289 100.0 0.37 437 437 7 446 0 6.100319
## 290 100.0 0.73 616 616 7 639 1 6.459905
## 291 64.9 0.42 96 148 20 225 1 5.416101
## 292 100.0 2.53 134 134 9 191 1 5.252274
## 293 100.0 0.30 2851 2851 7 4044 0 8.304990
## 294 100.0 0.39 381 381 7 561 0 6.329721
## 295 75.3 0.43 290 385 24 1108 0 7.010312
## 296 96.8 0.18 274 283 8 315 0 5.752573
## 297 100.0 0.29 433 433 9 471 0 6.154858
## 298 49.6 1.45 137 276 11 328 0 5.793014
## 299 42.4 0.64 772 1821 8 2048 0 7.624619
## 300 100.0 0.25 182 182 21 635 1 6.453625
## 301 100.0 0.63 214 214 20 268 0 5.590987
## 302 100.0 0.32 249 249 7 308 1 5.730100
## 303 83.7 0.15 431 515 15 600 0 6.396930
## 304 83.5 0.67 71 85 6 101 1 4.615120
## 305 85.1 0.23 131 154 4 285 1 5.652489
## 306 80.6 0.42 1409 1748 14 3138 0 8.051341
## 307 100.0 0.03 255 255 25 266 0 5.583496
## 308 100.0 0.87 126 126 7 233 1 5.451038
## 309 77.4 0.22 702 907 6 1334 0 7.195937
## 310 82.5 3.99 2492 3022 9 3904 0 8.269757
## 311 100.0 1.11 4252 4252 33 4483 0 8.408048
## 312 100.0 0.09 483 483 9 546 1 6.302619
## 313 48.8 0.23 690 1413 5 4100 1 8.318742
## 314 100.0 0.08 105 105 5 156 1 5.049856
## 315 73.5 0.31 186 253 13 260 0 5.560682
## 316 100.0 0.68 1051 1051 5 1094 0 6.997596
## 317 82.0 0.41 937 1142 28 6179 0 8.728911
## 318 100.0 0.80 547 547 20 869 1 6.767343
## 319 77.2 0.74 982 1272 10 1719 0 7.449498
## 320 100.0 1.42 104 104 8 141 1 4.948760
## 321 90.7 0.36 411 453 5 1380 1 7.229839
## 322 100.0 0.89 1275 1275 8 2473 1 7.813187
## 323 83.6 0.21 138 165 7 1990 1 7.595890
## 324 100.0 1.09 252 252 7 254 0 5.537334
## 325 46.9 0.25 345 736 7 1131 1 7.030858
## 326 91.2 0.67 198 217 9 313 0 5.746203
## 327 76.5 0.47 297 388 5 703 0 6.555357
## 328 72.3 0.46 427 591 8 663 1 6.496775
## 329 96.5 0.72 245 254 9 348 1 5.852202
## 330 82.2 0.27 245 298 7 469 1 6.150603
## 331 100.0 0.44 87 87 16 117 0 4.762174
## 332 100.0 1.58 123 123 10 123 1 4.812184
## 333 100.0 0.33 109 109 7 161 1 5.081404
## 334 100.0 0.92 108 108 7 278 1 5.627621
## 335 100.0 0.71 174 174 7 241 1 5.484797
## 336 100.0 0.55 460 460 5 705 1 6.558198
## 337 100.0 2.18 826 826 7 2262 1 7.724005
## 338 100.0 0.37 246 246 6 309 0 5.733341
## 339 89.4 1.40 152 170 6 181 1 5.198497
## 340 100.0 1.48 129 129 7 795 1 6.678342
## 341 96.0 2.00 753 784 16 1003 0 6.910751
## 342 100.0 0.82 380 380 6 1929 0 7.564757
## 343 100.0 3.81 1989 1989 6 3924 0 8.274867
## 344 100.0 0.42 155 155 8 210 1 5.347107
## 345 100.0 0.53 93 93 9 262 1 5.568345
## 346 100.0 1.07 892 892 16 1334 1 7.195937
## 347 100.0 0.97 884 884 39 1191 0 7.082549
## 348 97.4 0.50 518 532 35 1922 0 7.561121
## 349 100.0 0.49 1320 1320 7 1888 0 7.543273
## 350 93.7 0.36 699 746 7 1011 0 6.918695
## 351 74.0 0.24 1232 1664 6 3733 1 8.224967
## 352 91.6 0.75 536 585 5 894 0 6.795706
## 353 100.0 0.25 262 262 6 305 0 5.720312
## 354 98.6 0.37 207 210 21 312 1 5.743003
## 355 77.9 0.37 1170 1501 6 1782 0 7.485492
## 356 92.3 0.73 322 349 37 492 1 6.198479
## 357 100.0 0.41 634 634 7 2839 0 7.951207
## 358 100.0 2.00 188 188 29 283 1 5.645447
## 359 100.0 0.39 178 178 36 178 1 5.181784
## 360 91.7 0.11 210 229 29 783 1 6.663133
## 361 99.8 1.54 475 476 16 681 1 6.523562
## 362 98.7 1.23 155 157 16 231 1 5.442418
## 363 100.0 1.46 971 971 8 12210 1 9.410010
## 364 59.8 0.26 974 1629 9 1826 1 7.509883
## 365 100.0 0.89 908 908 14 995 0 6.902743
## 366 21.0 0.17 2577 12291 24 20928 0 9.948843
## 367 100.0 0.22 251 251 22 363 1 5.894403
## 368 100.0 0.12 131 131 9 922 1 6.826545
## 369 78.0 0.17 213 273 5 287 1 5.659482
## 370 72.0 0.22 683 949 7 2977 0 7.998672
## 371 100.0 0.24 114 114 6 247 1 5.509388
## 372 90.8 1.27 128 141 6 141 1 4.948760
## 373 100.0 1.03 102 102 9 119 1 4.779123
## 374 100.0 3.45 212 212 6 232 1 5.446737
## 375 100.0 1.99 190 190 8 211 1 5.351858
## 376 73.7 0.35 168 228 7 349 1 5.855072
## 377 100.0 1.68 555 555 18 2691 1 7.897668
## 378 100.0 0.14 1655 1655 6 2555 0 7.845808
## 379 100.0 0.33 148 148 5 233 1 5.451038
## 380 100.0 0.10 105 105 7 105 1 4.653960
## 381 76.3 0.30 161 211 8 856 0 6.752270
## 382 54.1 0.22 482 891 6 3277 0 8.094684
## 383 76.5 0.25 127 166 5 225 0 5.416101
## 384 95.2 0.52 99 104 6 317 1 5.758902
## 385 92.0 0.06 613 666 15 1368 0 7.221105
## 386 100.0 0.51 284 284 6 340 0 5.828946
## 387 100.0 0.87 183 183 9 221 1 5.398163
## 388 74.4 0.18 232 312 7 925 0 6.829794
## 389 48.9 0.01 116 237 7 2114 1 7.656337
## 390 100.0 1.70 231 231 8 231 1 5.442418
## 391 100.0 1.87 333 333 6 1687 1 7.430707
## 392 100.0 0.53 201 201 7 607 1 6.408529
## 393 32.5 0.23 50 154 6 173 1 5.153292
## 394 59.2 0.20 177 299 34 404 0 6.001415
## 395 100.0 0.51 340 340 27 399 0 5.988961
## 396 100.0 2.45 143 143 23 207 0 5.332719
## 397 74.5 1.65 602 808 8 1116 0 7.017506
## 398 100.0 0.33 2325 2325 21 5158 1 8.548305
## 399 87.8 0.46 201 229 8 511 0 6.236370
## 400 73.7 0.66 435 590 10 831 0 6.722630
## 401 87.1 0.56 1169 1342 10 1706 0 7.441907
## 402 75.2 0.30 465 618 19 673 0 6.511745
## 403 99.0 0.62 104 105 10 117 1 4.762174
## 404 100.0 0.39 213 213 14 848 0 6.742881
## 405 89.8 0.43 202 225 6 570 1 6.345636
## 406 81.0 0.36 383 473 22 623 1 6.434546
## 407 63.7 0.40 135 212 5 274 1 5.613128
## 408 100.0 1.15 1691 1691 7 2465 0 7.809947
## 409 100.0 0.28 651 651 21 741 1 6.608001
## 410 100.0 1.10 238 238 17 266 1 5.583496
## 411 100.0 0.10 384 384 7 798 0 6.682108
## 412 100.0 0.21 232 232 7 396 0 5.981414
## 413 100.0 1.41 317 317 15 1331 1 7.193686
## 414 100.0 0.98 327 327 7 640 1 6.461468
## 415 100.0 0.43 250 250 5 533 1 6.278522
## 416 95.9 0.72 844 880 8 1040 1 6.946976
## 417 100.0 0.53 172 172 8 233 0 5.451038
## 418 80.7 0.69 384 476 6 626 1 6.439351
## 419 96.3 0.22 363 377 5 658 1 6.489205
## 420 95.7 1.76 179 187 6 1241 0 7.123673
## 421 100.0 1.26 108 108 9 185 1 5.220356
## 422 83.9 0.34 302 360 8 731 0 6.594413
## 423 100.0 0.28 558 558 6 1939 1 7.569928
## 424 61.2 0.39 161 263 7 364 0 5.897154
## 425 100.0 0.21 252 252 5 278 0 5.627621
## 426 98.1 1.35 259 264 9 316 0 5.755742
## 427 75.3 0.62 731 971 11 1142 0 7.040536
## 428 100.0 4.36 109 109 29 139 1 4.934474
## 429 99.1 0.48 108 109 10 117 1 4.762174
## 430 38.7 0.52 118 305 7 341 1 5.831882
## 431 84.5 0.81 163 193 14 323 1 5.777652
## 432 74.0 0.22 344 465 7 913 0 6.816736
## 433 100.0 0.04 125 125 8 185 1 5.220356
## 434 100.0 0.03 220 220 6 412 0 6.021023
## 435 96.1 0.67 442 460 24 1175 1 7.069024
## 436 100.0 2.11 1960 1960 12 5155 1 8.547723
## 437 92.3 0.44 192 208 7 223 0 5.407172
## 438 100.0 1.00 11008 11008 27 31886 0 10.369923
## 439 94.4 0.69 168 178 10 364 1 5.897154
## 440 39.4 0.27 263 667 5 944 0 6.850126
## 441 96.2 0.32 254 264 7 1697 0 7.436617
## 442 100.0 0.19 552 552 16 999 0 6.906755
## 443 73.9 0.60 266 360 16 516 1 6.246107
## 444 89.0 0.46 938 1054 36 1064 0 6.969790
## 445 100.0 0.47 1174 1174 6 1380 0 7.229839
## 446 99.9 0.83 3655 3659 15 3725 0 8.222822
## 447 59.1 1.12 198 335 36 411 0 6.018593
## 448 68.5 0.45 304 444 6 505 0 6.224558
## 449 89.9 0.47 402 447 6 561 0 6.329721
## 450 88.0 0.18 191 217 7 302 1 5.710427
## 451 92.9 0.77 105 113 11 180 1 5.192957
## 452 100.0 0.79 3333 3333 7 5062 0 8.529517
## 453 100.0 0.12 269 269 8 340 1 5.828946
## 454 85.1 0.42 114 134 7 144 0 4.969813
## 455 100.0 1.87 938 938 7 1652 0 7.409742
## 456 100.0 0.41 198 198 5 244 0 5.497168
## 457 100.0 0.73 3941 3941 24 5349 1 8.584665
## 458 59.0 0.87 1136 1926 35 3566 0 8.179200
## 459 97.8 0.58 616 630 15 630 0 6.445720
## 460 78.8 0.82 215 273 5 358 0 5.880533
## 461 65.5 0.41 116 177 7 191 0 5.252274
## 462 92.9 0.83 117 126 13 208 1 5.337538
## 463 85.6 0.16 255 298 7 63681 1 11.061642
## 464 66.6 0.49 613 920 6 4628 1 8.439880
## 465 83.7 0.30 642 767 26 2617 0 7.869784
## 466 87.4 0.45 118 135 7 212 0 5.356586
## 467 100.0 0.06 667 667 7 737 0 6.602588
## 468 100.0 0.97 110 110 19 111 1 4.709530
## 469 85.5 0.67 2294 2683 10 2683 0 7.894691
## 470 39.6 0.26 593 1498 6 1580 0 7.365180
## 471 66.6 0.69 383 575 16 626 1 6.439351
## 472 64.6 0.15 73 113 5 201 1 5.303305
## 473 98.9 0.48 1397 1413 11 1877 1 7.537430
## 474 100.0 1.54 597 597 20 642 0 6.464588
## 475 100.0 0.40 198 198 19 279 0 5.631212
## 476 92.5 0.23 2091 2261 6 2442 0 7.800573
## 477 95.6 0.57 2177 2278 7 2309 0 7.744570
## 478 100.0 0.81 99 99 5 100 1 4.605170
## 479 97.7 0.63 171 175 8 232 1 5.446737
## 480 88.1 2.00 297 337 7 395 0 5.978886
## 481 100.0 0.16 100 100 19 121 1 4.795791
## 482 100.0 1.21 300 300 7 5928 1 8.687442
## 483 74.6 0.39 209 280 22 294 0 5.683580
## 484 76.5 0.80 1823 2383 6 3374 0 8.123855
## 485 99.0 1.48 197 199 5 219 1 5.389072
## 486 100.0 0.58 4066 4066 7 5800 0 8.665613
## 487 72.8 0.52 209 287 13 291 1 5.673323
## 488 93.0 0.49 239 257 19 257 1 5.549076
## 489 100.0 0.93 96 96 8 121 1 4.795791
## 490 100.0 0.43 686 686 7 821 0 6.710523
## 491 100.0 0.55 12060 12060 48 43436 0 10.679044
## 492 85.7 0.14 240 280 16 511 1 6.236370
## 493 100.0 0.50 6524 6524 16 7373 0 8.905580
## 494 100.0 0.91 239 239 6 428 1 6.059123
## 495 73.2 0.90 235 321 9 321 0 5.771441
## 496 97.8 0.48 3649 3731 10 3742 0 8.227375
## 497 87.7 0.73 1808 2061 36 2136 0 7.666690
## 498 43.1 0.42 889 2061 8 2136 0 7.666690
## 499 100.0 0.41 381 381 16 403 0 5.998937
## 500 81.1 2.21 13635 16812 39 21524 0 9.976924
## 501 85.5 0.44 189 221 8 714 1 6.570883
## 502 72.9 0.22 164 225 14 225 0 5.416101
## 503 91.0 0.12 352 387 7 599 0 6.395262
## 504 100.0 0.16 106 106 18 156 1 5.049856
## 505 94.0 1.00 249 265 31 359 1 5.883322
## 506 100.0 1.77 366 366 8 427 1 6.056784
## 507 77.3 0.75 2171 2807 25 3929 0 8.276140
## 508 78.5 0.61 175 223 7 3929 0 8.276140
## 509 56.3 0.31 426 756 16 834 1 6.726233
## 510 89.7 0.68 87 97 24 115 0 4.744932
## 511 92.2 0.31 341 370 31 419 1 6.037871
## 512 100.0 0.39 535 535 12 1649 0 7.407924
## 513 100.0 0.46 642 642 8 1521 0 7.327123
## 514 70.7 0.57 289 409 8 737 0 6.602588
## 515 100.0 0.04 178 178 33 199 1 5.293305
## 516 65.0 0.55 748 1150 18 1198 0 7.088409
## 517 75.7 0.33 1212 1601 5 1765 0 7.475906
## 518 100.0 0.03 6925 6925 8 8291 0 9.022926
## 519 71.7 0.96 104 145 7 291 1 5.673323
## 520 91.6 2.09 120 131 5 195 1 5.273000
## 521 100.0 0.34 236 236 11 258 0 5.552959
## 522 57.8 0.04 63 109 8 355 1 5.872118
## 523 84.2 0.22 218 259 19 2843 1 7.952615
## 524 94.2 1.03 114 121 7 141 1 4.948760
## 525 95.0 0.66 1088 1145 25 1352 0 7.209340
## 526 100.0 2.79 134 134 23 147 1 4.990433
## 527 19.3 0.54 51 264 25 290 0 5.669881
## 528 86.1 0.60 118 137 20 160 0 5.075174
## 529 82.0 0.17 273 333 7 456 0 6.122493
## 530 68.8 0.57 106 154 6 252 0 5.529429
## 531 83.2 0.17 129 155 7 199 1 5.293305
## 532 85.2 0.88 167 196 13 271 1 5.602119
## 533 100.0 0.83 1152 1152 7 5064 0 8.529912
## 534 100.0 0.44 143 143 12 184 0 5.214936
## 535 77.2 0.57 700 907 7 1324 1 7.188413
## 536 77.3 0.92 279 361 8 441 0 6.089045
## 537 100.0 1.37 125 125 13 259 1 5.556828
## 538 95.0 0.75 680 716 7 716 0 6.573680
## 539 99.6 0.40 222 223 9 553 1 6.315358
## 540 74.7 0.78 148 198 7 249 1 5.517453
## 541 75.9 0.97 82 108 12 146 0 4.983607
## 542 81.3 0.38 61 75 5 219 1 5.389072
## 543 91.4 1.12 1564 1711 5 3480 0 8.154788
## 544 100.0 0.04 281 281 9 369 0 5.910797
## 545 70.6 0.17 89 126 6 202 1 5.308268
## 546 100.0 0.39 376 376 7 1100 1 7.003066
## 547 80.9 0.15 933 1153 8 1337 0 7.198184
## 548 88.8 0.65 1154 1300 8 1792 0 7.491087
## 549 100.0 0.79 285 285 7 372 1 5.918894
## 550 100.0 0.06 208 208 7 250 1 5.521461
## 551 100.0 1.69 2074 2074 13 2358 0 7.765569
## 552 47.7 0.32 145 304 5 305 0 5.720312
## 553 100.0 1.65 768 768 10 1177 0 7.070724
## 554 60.1 0.09 196 326 7 369 0 5.910797
## 555 67.3 0.69 230 342 24 410 1 6.016157
## 556 100.0 0.03 15107 15107 33 43436 1 10.679044
## 557 100.0 0.36 1544 1544 18 5356 0 8.585973
## 558 82.5 0.23 680 824 8 5356 0 8.585973
## 559 100.0 3.39 171 171 14 187 1 5.231109
## 560 87.2 0.44 3994 4578 35 4886 0 8.494129
## 561 80.1 0.42 1069 1335 33 1997 0 7.599401
## 562 95.0 0.37 113 119 31 145 0 4.976734
## 563 100.0 0.67 518 518 6 628 0 6.442540
## 564 100.0 0.84 216 216 13 217 0 5.379897
## 565 91.6 0.48 163 178 7 197 1 5.283204
## 566 85.8 0.19 512 597 48 872 0 6.770790
## 567 97.8 0.64 394 403 14 435 0 6.075346
## 568 93.4 0.28 1556 1666 17 5105 0 8.537975
## 569 75.3 0.44 694 922 6 1218 0 7.104965
## 570 79.7 3.05 656 823 37 2102 0 7.650645
## 571 100.0 2.79 277 277 37 331 0 5.802118
## 572 100.0 0.30 875 875 6 2986 0 8.001690
## 573 82.1 0.36 193 235 14 258 1 5.552959
## 574 86.7 0.69 8252 9517 24 9556 0 9.164925
## 575 84.3 1.12 118 140 30 200 1 5.298317
## 576 73.5 0.59 202 275 5 302 1 5.710427
## 577 82.8 0.10 425 513 28 693 0 6.541030
## 578 100.0 2.44 304 304 24 514 0 6.242223
## 579 80.5 0.56 1439 1788 20 2036 0 7.618742
## 580 65.1 0.17 861 1322 17 2380 0 7.774856
## 581 95.7 0.08 134 140 15 161 0 5.081404
## 582 99.2 0.02 122 123 36 301 1 5.707110
## 583 100.0 0.87 105 105 35 120 1 4.787492
## 584 88.3 0.53 203 230 10 286 0 5.655992
## 585 100.0 2.49 119 119 12 291 1 5.673323
## 586 100.0 2.52 396 396 13 429 0 6.061457
## 587 100.0 0.46 248 248 6 350 0 5.857933
## 588 92.6 1.90 729 787 8 1028 0 6.935370
## 589 57.6 0.37 345 599 8 1178 0 7.071573
## 590 77.3 0.32 75 97 25 162 0 5.087596
## 591 78.0 0.33 78 100 25 165 0 5.105946
## 592 94.4 0.82 1832 1941 29 2016 0 7.608871
## 593 100.0 0.78 153 153 8 309 1 5.733341
## 594 69.2 0.37 229 331 5 401 0 5.993961
## 595 100.0 1.90 499 499 11 43436 1 10.679044
## 596 94.8 0.08 184 194 32 221 1 5.398163
## 597 100.0 0.44 14869 14869 26 19591 0 9.882826
## 598 100.0 0.10 2242 2242 23 7196 0 8.881281
## 599 79.7 0.13 165 207 27 236 0 5.463832
## 600 83.6 0.57 17794 21283 10 32179 0 10.379069
## 601 100.0 0.44 178 178 10 310 0 5.736572
## 602 100.0 1.26 252 252 5 276 1 5.620401
## 603 100.0 0.96 105 105 20 154 1 5.036952
## 604 93.9 1.59 2001 2131 20 3287 1 8.097731
## 605 100.0 0.36 126 126 16 249 1 5.517453
## 606 80.9 0.90 621 768 8 1591 0 7.372118
## 607 81.8 0.12 4934 6035 7 14694 1 9.595195
## 608 100.0 1.05 375 375 8 655 1 6.484635
## 609 88.1 0.69 207 235 23 295 0 5.686975
## 610 100.0 0.76 96 96 15 100 1 4.605170
## 611 75.2 0.40 121 161 8 1301 0 7.170888
## 612 82.5 1.00 3396 4115 6 6115 0 8.718500
## 613 99.8 2.53 449 450 11 662 1 6.495265
## 614 98.8 0.41 160 162 23 167 0 5.117994
## 615 48.9 0.12 200 409 10 2581 1 7.855932
## 616 89.4 0.76 101 113 14 113 0 4.727388
## 617 100.0 0.30 135 135 34 237 1 5.468060
## 618 100.0 0.71 122 122 18 149 1 5.003946
## 619 100.0 0.22 5899 5899 12 18200 0 9.809176
## 620 67.1 0.20 2075 3093 6 9574 0 9.166806
## 621 81.8 0.31 2018 2466 8 2776 0 7.928766
## 622 75.4 0.80 184 244 8 1220 0 7.106606
## 623 59.6 0.16 895 1501 13 1770 0 7.478735
## 624 100.0 0.44 889 889 8 2068 0 7.634337
## 625 86.1 0.97 6824 7925 29 19754 0 9.891111
## 626 54.2 0.43 846 1561 35 2208 0 7.699842
## 627 56.3 0.43 672 1193 7 2743 0 7.916808
## 628 94.8 0.27 128 135 11 136 0 4.912655
## 629 94.0 0.78 708 753 5 876 1 6.775366
## 630 96.3 0.26 211 219 17 365 0 5.899898
## 631 73.6 0.48 78 106 8 245 0 5.501258
## 632 29.0 0.25 152 524 8 633 0 6.450470
## 633 100.0 1.34 257 257 7 291 1 5.673323
## 634 95.7 0.76 4412 4608 31 40378 0 10.606040
## 635 73.5 0.09 164 223 5 290 1 5.669881
## 636 96.5 1.45 414 429 18 718 0 6.576469
## 637 94.6 0.54 194 205 16 718 0 6.576469
## 638 85.6 2.93 740 864 15 3285 1 8.097122
## 639 100.0 1.26 154 154 7 230 1 5.438079
## 640 69.4 0.42 468 674 39 1136 1 7.035269
## 641 97.0 0.77 289 298 14 413 1 6.023448
## 642 93.5 0.70 1990 2128 18 2380 0 7.774856
## 643 88.2 0.49 9596 10885 19 11666 0 9.364434
## 644 100.0 0.14 469 469 14 800 0 6.684612
## 645 63.0 0.49 269 427 5 427 0 6.056784
## 646 54.9 0.02 374 681 9 681 1 6.523562
## 647 100.0 0.45 230 230 7 923 0 6.827629
## 648 89.8 1.01 469 522 18 781 1 6.660575
## 649 100.0 1.16 83 83 10 88 1 4.477337
## 650 73.8 0.21 149 202 12 310 1 5.736572
## 651 93.8 0.74 767 818 8 1342 1 7.201916
## 652 100.0 1.11 274 274 6 551 0 6.311735
## 653 72.0 0.30 201 279 7 628 1 6.442540
## 654 92.0 0.72 3431 3728 29 3806 0 8.244334
## 655 100.0 0.13 2345 2345 27 4467 1 8.404472
## 656 100.0 0.25 103 103 7 103 1 4.634729
## 657 100.0 2.17 357 357 7 480 1 6.173786
## 658 75.3 0.45 320 425 7 466 0 6.144186
## 659 76.4 0.10 146 191 4 409 1 6.013715
## 660 79.7 0.11 1567 1967 5 3780 0 8.237479
## 661 85.1 0.66 5303 6233 24 7473 0 8.919052
## 662 92.1 0.51 2358 2561 14 3806 0 8.244334
## 663 100.0 1.08 233 233 7 306 1 5.723585
## 664 99.6 0.56 946 950 35 1032 0 6.939254
## 665 57.8 0.35 2382 4123 5 6875 0 8.835647
## 666 100.0 3.67 51567 51567 19 77984 0 11.264259
## 667 100.0 0.37 4144 4144 39 5108 1 8.538563
## 668 100.0 0.97 1511 1511 8 2168 1 7.681561
## 669 56.2 0.14 599 1065 22 1065 0 6.970730
## 670 98.6 0.10 1922 1950 7 2137 0 7.667158
## 671 100.0 1.85 7665 7665 41 9761 0 9.186151
## 672 100.0 0.18 254 254 13 292 1 5.676754
## 673 100.0 0.67 149 149 10 176 0 5.170484
## 674 100.0 0.67 109 109 33 511 0 6.236370
## 675 100.0 1.87 274 274 16 325 1 5.783825
## 676 85.7 0.19 873 1019 5 1362 0 7.216710
## 677 93.5 0.94 116 124 6 124 0 4.820282
## 678 100.0 0.20 123 123 20 131 1 4.875197
## 679 100.0 2.28 1173 1173 38 1474 1 7.295735
## 680 79.8 0.39 75 94 37 94 0 4.543295
## 681 100.0 0.67 107 107 24 107 1 4.672829
## 682 57.6 0.07 182 316 9 824 0 6.714170
## 683 86.9 0.51 226 260 31 260 1 5.560682
## 684 86.0 0.17 4534 5273 32 6093 0 8.714896
## 685 100.0 0.96 178 178 9 254 1 5.537334
## 686 97.7 0.01 212 217 8 463 0 6.137727
## 687 96.8 0.37 1431 1479 9 1479 0 7.299121
## 688 99.1 3.73 218 220 7 291 0 5.673323
## 689 52.3 0.47 114 218 6 305 0 5.720312
## 690 63.0 0.11 384 610 7 3894 1 8.267192
## 691 74.3 0.36 575 774 5 1651 0 7.409136
## 692 90.8 0.53 1881 2072 15 2072 0 7.636270
## 693 87.4 1.62 139 159 6 193 0 5.262690
## 694 62.7 0.62 937 1495 8 2614 0 7.868637
## 695 50.2 0.77 6218 12391 10 34854 0 10.458923
## 696 58.2 0.20 301 517 11 868 0 6.766191
## 697 100.0 1.44 394 394 16 940 1 6.845880
## 698 49.6 0.03 282 568 7 6610 0 8.796339
## 699 73.5 0.59 25007 34004 43 65471 0 11.089362
## 700 100.0 1.03 1610 1610 30 3680 1 8.210668
## 701 100.0 0.21 134 134 6 160 1 5.075174
## 702 100.0 4.37 1250 1250 27 1250 0 7.130899
## 703 100.0 0.71 549 549 39 639 1 6.459905
## 704 100.0 0.60 14087 14087 19 15464 0 9.646270
## 705 100.0 0.03 122 122 10 196 1 5.278115
## 706 85.7 0.92 132 154 22 232 0 5.446737
## 707 100.0 0.32 312 312 9 365 1 5.899898
## 708 95.1 0.20 195 205 13 230 1 5.438079
## 709 67.3 0.51 111 165 15 165 0 5.105946
## 710 100.0 0.33 146 146 15 171 1 5.141664
## 711 100.0 2.11 529 529 19 962 1 6.869014
## 712 100.0 3.52 1024 1024 8 2439 1 7.799344
## 713 75.9 0.11 630 830 7 1010 1 6.917706
## 714 100.0 0.28 6937 6937 31 15663 0 9.659057
## 715 70.9 0.23 3586 5057 42 15245 0 9.632007
## 716 100.0 0.65 973 973 7 991 1 6.898715
## 717 100.0 4.00 147 147 8 430 0 6.063785
## 718 100.0 0.27 357 357 19 749 1 6.618739
## 719 100.0 0.86 63 63 17 93 0 4.532599
## 720 100.0 0.38 146 146 17 147 1 4.990433
## 721 57.7 0.33 150 260 7 344 1 5.840641
## 722 86.3 0.58 3022 3500 8 11628 0 9.361172
## 723 88.8 0.54 213 240 15 240 0 5.480639
## 724 64.4 0.42 65 101 15 101 0 4.615120
## 725 86.3 0.33 5444 6306 8 10506 0 9.259702
## 726 70.0 0.11 175 250 6 465 0 6.142037
## 727 94.2 0.85 97 103 5 115 0 4.744932
## 728 100.0 0.47 190 190 20 197 1 5.283204
## 729 100.0 1.68 129 129 10 185 1 5.220356
## 730 74.3 0.09 202 272 5 352 0 5.863631
## 731 85.8 3.50 133 155 17 390 0 5.966147
## 732 79.3 0.24 562 709 8 813 1 6.700731
## 733 66.2 0.70 1017 1536 13 4343 1 8.376321
## 734 41.5 0.16 90 217 8 243 1 5.493062
## 735 100.0 0.49 131 131 11 153 1 5.030438
## 736 67.3 0.74 222 330 13 423 1 6.047372
## 737 57.0 0.56 1415 2484 5 2484 0 7.817626
## 738 57.0 0.56 1415 2484 5 2484 0 7.817626
## 739 85.8 0.76 163 190 11 193 1 5.262690
## 740 51.0 0.57 985 1932 6 6631 1 8.799511
## 741 95.7 0.34 379 396 19 2176 0 7.685244
## 742 86.8 0.64 770 887 8 944 0 6.850126
## 743 98.1 0.83 155 158 8 341 1 5.831882
## 744 100.0 0.35 229 229 12 439 0 6.084499
## 745 100.0 0.40 700 700 20 2872 1 7.962764
## 746 30.5 0.25 53 174 7 518 1 6.249975
## 747 75.1 0.88 997 1327 5 1930 0 7.565275
## 748 100.0 0.55 101 101 6 105 1 4.653960
## 749 95.0 0.75 190 200 15 200 0 5.298317
## 750 89.8 0.49 272 303 15 303 0 5.713733
## 751 93.9 0.53 1038 1106 17 1160 0 7.056175
## 752 61.1 0.35 88 144 7 144 1 4.969813
## 753 100.0 0.61 786 786 22 1016 1 6.923629
## 754 85.3 0.42 475 557 6 2145 0 7.670895
## 755 95.7 0.61 199 208 7 234 1 5.455321
## 756 100.0 0.81 250 250 5 483 1 6.180017
## 757 100.0 0.36 1543 1543 35 3867 1 8.260234
## 758 93.7 0.51 59 63 7 78 1 4.356709
## 759 82.2 0.72 822 1000 8 1231 0 7.115582
## 760 90.5 0.37 152 168 5 368 1 5.908083
## 761 100.0 0.24 58 58 8 58 1 4.060443
## 762 100.0 3.21 196 196 19 393 1 5.973810
## 763 75.1 0.69 1429 1904 7 3245 1 8.084870
## 764 96.1 0.93 1401 1458 7 1806 0 7.498870
## 765 63.0 0.44 648 1029 26 1616 1 7.387709
## 766 44.7 0.16 123 275 16 942 1 6.848005
## 767 83.5 0.68 1378 1651 8 1671 0 7.421177
## 768 100.0 0.12 404 404 7 664 0 6.498282
## 769 100.0 0.31 205 205 7 232 1 5.446737
## 770 58.3 0.31 401 688 7 3357 0 8.118803
## 771 75.4 0.06 150 199 9 377 1 5.932245
## 772 100.0 0.44 153 153 6 231 1 5.442418
## 773 90.2 0.62 184 204 7 495 0 6.204558
## 774 96.1 0.66 1091 1135 5 1746 1 7.465083
## 775 25.1 0.63 104 414 6 630 1 6.445720
## 776 80.4 0.60 501 623 25 2066 0 7.633369
## 777 100.0 0.09 155 155 8 251 0 5.525453
## 778 95.3 0.35 81 85 12 296 0 5.690360
## 779 100.0 1.11 941 941 5 2051 1 7.626083
## 780 100.0 4.38 1050 1050 5 1601 1 7.378384
## 781 60.4 0.41 162 268 6 968 1 6.875232
## 782 84.7 0.37 133 157 9 187 0 5.231109
## 783 78.2 1.20 1016 1299 6 2812 1 7.941651
## 784 100.0 0.19 1614 1614 19 2419 1 7.791110
## 785 100.0 0.14 527 527 16 883 0 6.783325
## 786 100.0 0.19 596 596 6 859 0 6.755769
## 787 100.0 0.81 215 215 20 215 0 5.370638
## 788 100.0 1.66 794 794 5 794 0 6.677083
## 789 84.5 0.36 142 168 6 3762 0 8.232706
## 790 60.8 0.38 234 385 6 3762 0 8.232706
## 791 82.1 0.52 366 446 9 564 0 6.335054
## 792 98.8 0.50 158 160 7 290 1 5.669881
## 793 84.6 0.44 154 182 6 3762 0 8.232706
## 794 100.0 3.08 321 321 5 321 1 5.771441
## 795 100.0 0.38 385 385 5 385 1 5.953243
## 796 79.3 0.36 5390 6801 28 20419 0 9.924221
## 797 88.2 0.55 1335 1514 18 1572 0 7.360104
## 798 89.9 0.28 1542 1715 19 7127 0 8.871646
## 799 89.6 0.34 250 279 30 327 1 5.789960
## 800 100.0 1.78 173 173 10 224 1 5.411646
## 801 73.0 0.89 100 137 21 157 1 5.056246
## 802 100.0 1.08 243 243 20 244 1 5.497168
## 803 100.0 1.24 159 159 7 275 1 5.616771
## 804 98.3 0.34 1401 1425 27 2619 0 7.870548
## 805 100.0 0.83 128 128 24 176 1 5.170484
## 806 100.0 0.18 334 334 7 482 0 6.177944
## 807 100.0 0.83 171 171 10 268 1 5.590987
## 808 90.8 0.50 177 195 16 247 1 5.509388
## 809 72.5 0.90 153 211 16 673 0 6.511745
## 810 71.5 0.38 241 337 7 580 0 6.363028
## 811 100.0 0.88 266 266 7 560 1 6.327937
## 812 90.4 0.34 123 136 7 167 1 5.117994
## 813 79.2 0.35 282 356 7 438 0 6.082219
## 814 95.7 0.60 110 115 8 194 0 5.267858
## 815 93.3 0.72 750 804 8 1980 0 7.590852
## 816 80.2 0.17 93 116 7 135 1 4.905275
## 817 96.6 0.46 338 350 8 1135 0 7.034388
## 818 73.9 0.18 283 383 7 509 0 6.232448
## 819 96.0 0.19 9270 9655 18 10156 0 9.225820
## 820 64.4 0.13 530 823 5 1615 0 7.387090
## 821 69.6 0.16 546 785 15 1715 0 7.447168
## 822 69.9 0.45 95 136 9 214 0 5.365976
## 823 80.0 0.40 220 275 16 325 0 5.783825
## 824 87.3 0.55 96 110 7 139 0 4.934474
## 825 100.0 0.71 135 135 11 179 1 5.187386
## 826 58.0 0.07 94 162 14 162 0 5.087596
## 827 100.0 0.74 244 244 21 278 1 5.627621
## 828 74.8 0.39 178 238 7 312 1 5.743003
## 829 100.0 0.39 2848 2848 24 14884 1 9.608042
## 830 82.9 0.74 175 211 14 2598 1 7.862497
## 831 100.0 0.30 195 195 8 310 1 5.736572
## 832 100.0 0.15 180 180 7 180 0 5.192957
## 833 100.0 1.02 798 798 7 2191 0 7.692113
## 834 100.0 2.00 111 111 15 163 1 5.093750
## 835 81.5 0.44 462 567 14 2662 1 7.886833
## 836 65.6 1.00 897 1368 10 1433 0 7.267525
## 837 100.0 2.26 1163 1163 10 1433 0 7.267525
## 838 46.9 0.95 206 439 8 506 1 6.226537
## 839 79.2 0.41 1497 1890 23 2552 0 7.844633
## 840 100.0 0.77 126 126 19 158 1 5.062595
## 841 53.3 0.97 2156 4048 15 6197 1 8.731820
## 842 77.3 0.15 1395 1805 20 2375 0 7.772753
## 843 77.9 0.63 109 140 7 1134 1 7.033506
## 844 61.8 0.09 320 518 8 688 0 6.533789
## 845 84.1 0.21 1335 1588 9 2467 1 7.810758
## 846 100.0 0.39 197 197 7 323 0 5.777652
## 847 100.0 0.42 128 128 9 166 1 5.111988
## 848 89.9 0.36 349 388 7 408 0 6.011267
## 849 100.0 0.24 834 834 8 1023 0 6.930495
## 850 100.0 3.06 247 247 6 674 1 6.513230
## 851 100.0 0.15 811 811 7 1840 1 7.517521
## 852 79.0 0.71 113 143 5 198 1 5.288267
## 853 100.0 0.23 87 87 11 157 1 5.056246
## 854 89.2 0.91 190 213 21 250 1 5.521461
## 855 100.0 0.49 241 241 12 281 1 5.638355
## 856 100.0 0.33 1509 1509 9 2570 0 7.851661
## 857 100.0 0.13 452 452 8 786 1 6.666957
## 858 100.0 0.26 150 150 11 150 0 5.010635
## 859 50.9 1.92 112 220 9 282 1 5.641907
## 860 74.1 0.33 537 725 8 1117 0 7.018402
## 861 100.0 2.18 730 730 9 847 1 6.741701
## 862 100.0 1.94 193 193 25 193 1 5.262690
## 863 80.7 0.54 138 171 7 2002 0 7.601902
## 864 91.2 0.44 18794 20599 8 70969 0 11.169998
## 865 71.9 0.42 31800 44221 8 70969 0 11.169998
## 866 91.8 0.30 212 231 7 4549 0 8.422663
## 867 100.0 3.74 340 340 7 1750 1 7.467371
## 868 20.1 0.20 283 1408 5 1408 1 7.249926
## 869 100.0 2.00 188 188 13 195 1 5.273000
## 870 78.7 0.48 2780 3533 19 4158 0 8.332789
## 871 92.3 0.33 854 925 23 1277 0 7.152269
## 872 86.0 4.63 584 679 7 869 0 6.767343
## 873 100.0 0.71 92 92 30 111 1 4.709530
## 874 100.0 0.66 142 142 7 186 1 5.225747
## 875 90.1 0.11 649 720 20 1733 1 7.457609
## 876 91.5 0.82 355 388 25 456 1 6.122493
## 877 100.0 0.39 441 441 9 708 0 6.562444
## 878 72.5 0.86 1376 1898 20 2247 0 7.717351
## 879 82.8 0.57 202 244 7 301 0 5.707110
## 880 48.9 0.99 331 677 10 677 1 6.517671
## 881 100.0 3.40 165 165 14 174 1 5.159055
## 882 100.0 0.19 322 322 7 454 0 6.118097
## 883 100.0 1.37 107 107 17 145 1 4.976734
## 884 86.2 0.41 581 674 6 1380 0 7.229839
## 885 75.7 0.21 171 226 7 305 0 5.720312
## 886 100.0 0.30 182 182 7 182 0 5.204007
## 887 100.0 0.91 188 188 7 216 1 5.375278
## 888 100.0 0.53 109 109 8 177 1 5.176150
## 889 100.0 0.32 408 408 8 548 0 6.306275
## 890 65.3 0.39 252 386 8 604 1 6.403574
## 891 100.0 1.56 1203 1203 44 2304 0 7.742402
## 892 85.5 0.30 2291 2679 19 5819 0 8.668883
## 893 20.6 0.04 1151 5586 7 5819 0 8.668883
## 894 89.8 0.42 336 374 7 1081 0 6.985642
## 895 83.8 0.42 325 388 7 583 0 6.368187
## 896 100.0 0.48 6888 6888 48 7830 0 8.965717
## 897 53.8 0.45 820 1524 8 2629 0 7.874359
## 898 61.2 0.20 290 474 5 818 0 6.706862
## 899 100.0 0.80 148 148 11 193 0 5.262690
## 900 100.0 0.14 221 221 8 234 1 5.455321
## 901 48.2 0.11 520 1079 5 2071 0 7.635787
## 902 66.3 0.42 450 679 7 759 0 6.632002
## 903 69.9 0.54 1817 2600 8 4270 1 8.359369
## 904 100.0 0.38 175 175 37 511 1 6.236370
## 905 100.0 0.66 96 96 7 132 1 4.882802
## 906 100.0 0.61 186 186 6 260 1 5.560682
## 907 78.0 0.27 184 236 5 274 1 5.613128
## 908 100.0 0.52 259 259 12 484 1 6.182085
## 909 50.0 0.41 168 336 15 478 1 6.169611
## 910 100.0 0.57 2567 2567 5 6500 0 8.779557
## 911 100.0 4.35 127 127 15 230 1 5.438079
## 912 100.0 3.46 100 100 20 201 0 5.303305
## 913 100.0 0.72 132 132 16 234 1 5.455321
## 914 100.0 1.02 268 268 8 457 1 6.124683
## 915 100.0 1.44 78 78 10 528 1 6.269096
## 916 100.0 0.62 136 136 16 379 0 5.937536
## 917 100.0 0.25 214 214 11 242 0 5.488938
## 918 88.0 0.43 16236 18442 7 30308 0 10.319167
## 919 99.7 0.58 301 302 8 478 1 6.169611
## 920 59.9 0.17 124 207 7 389 1 5.963579
## 921 100.0 3.71 8449 8449 7 21963 1 9.997114
## 922 59.6 0.53 161 270 5 820 0 6.709304
## 923 100.0 1.21 126 126 9 232 1 5.446737
## 924 100.0 0.25 970 970 26 1030 0 6.937314
## 925 100.0 0.55 238 238 6 371 1 5.916202
## 926 100.0 1.00 105 105 7 122 1 4.804021
## 927 100.0 0.16 166 166 7 346 1 5.846439
## 928 68.9 0.12 73 106 6 125 1 4.828314
## 929 79.0 0.21 147 186 7 205 0 5.323010
## 930 87.0 0.62 100 115 7 124 1 4.820282
## 931 100.0 0.34 281 281 7 656 1 6.486161
## 932 95.9 0.51 4394 4584 24 5105 0 8.537975
## 933 77.2 0.17 404 523 6 645 0 6.469250
## 934 100.0 1.24 79 79 7 1090 0 6.993933
## 935 100.0 1.13 48777 48777 7 144387 0 11.880253
## 936 91.7 0.43 199 217 5 356 0 5.874931
## 937 77.7 0.48 87 112 34 146 1 4.983607
## 938 100.0 0.43 349 349 7 555 0 6.318968
## 939 8.8 0.50 142 1605 14 2215 0 7.703008
## 940 60.9 0.37 978 1605 8 2215 0 7.703008
## 941 100.0 1.69 289 289 28 497 0 6.208590
## 942 100.0 2.36 207 207 5 226 1 5.420535
## 943 100.0 1.50 284 284 9 321 1 5.771441
## 944 62.6 0.39 555 886 5 1201 0 7.090910
## 945 100.0 0.18 113 113 9 186 0 5.225747
## 946 100.0 1.07 748 748 20 931 1 6.836259
## 947 65.5 0.46 525 802 7 822 0 6.711740
## 948 99.0 0.14 307 310 15 1077 1 6.981935
## 949 78.5 1.11 299 381 5 531 1 6.274762
## 950 100.0 1.73 107 107 7 237 1 5.468060
## 951 100.0 0.53 98 98 18 111 1 4.709530
## 952 97.0 0.16 96 99 7 121 1 4.795791
## 953 89.9 0.39 321 357 8 587 1 6.375025
## 954 77.9 0.48 116 149 6 184 0 5.214936
## 955 100.0 0.66 65 65 33 80 0 4.382027
## 956 100.0 0.41 105 105 13 166 1 5.111988
## 957 73.4 0.28 259 353 6 424 0 6.049734
## 958 100.0 1.80 165 165 8 219 1 5.389072
## 959 100.0 0.74 272 272 8 555 0 6.318968
## 960 89.0 0.77 1896 2130 29 2774 0 7.928046
## 961 64.7 0.07 311 481 7 1181 0 7.074117
## 962 100.0 0.67 220 220 6 220 1 5.393628
## 963 89.4 0.37 447 500 5 544 0 6.298949
## 964 78.7 0.12 573 728 6 769 0 6.645091
## 965 76.9 0.40 681 885 8 1941 0 7.570959
## 966 64.6 0.28 747 1157 7 3018 1 8.012350
## 967 78.8 1.15 178 226 20 451 1 6.111467
## 968 100.0 0.50 131 131 17 160 1 5.075174
## 969 83.9 0.41 1787 2129 27 2312 0 7.745868
## 970 100.0 0.10 182 182 11 183 1 5.209486
## 971 43.6 0.10 3464 7948 8 13072 0 9.478228
## 972 95.4 0.30 187 196 7 235 0 5.459586
## 973 95.8 0.32 182 190 5 261 1 5.564520
## 974 100.0 0.69 134 134 8 169 1 5.129899
## 975 73.5 0.17 114 155 6 332 0 5.805135
## 976 100.0 0.68 394 394 45 420 0 6.040255
## 977 91.3 0.32 158 173 21 628 1 6.442540
## 978 82.6 4.13 90 109 6 383 1 5.948035
## 979 100.0 0.72 115 115 32 518 0 6.249975
## 980 63.4 0.09 4877 7696 9 12539 0 9.436599
## 981 50.3 0.10 1110 2208 5 3928 0 8.275886
## 982 100.0 0.14 283 283 7 354 0 5.869297
## 983 93.7 0.45 208 222 16 419 0 6.037871
## 984 99.1 1.46 111 112 37 199 1 5.293305
## 985 93.1 0.27 764 821 15 3463 0 8.149891
## 986 67.6 0.21 3188 4716 15 6489 0 8.777864
## 987 73.4 0.18 370 504 7 628 0 6.442540
## 988 85.0 0.37 713 839 27 976 0 6.883462
## 989 77.0 0.42 3357 4357 37 11120 0 9.316501
## 990 90.4 0.37 2305 2549 22 2549 0 7.843456
## 991 37.0 0.22 80 216 7 261 1 5.564520
## 992 100.0 0.95 576 576 7 705 1 6.558198
## 993 100.0 0.89 531 531 6 1561 1 7.353082
## 994 100.0 0.29 278 278 12 2112 0 7.655391
## 995 86.4 0.32 445 515 7 693 0 6.541030
## 996 49.7 0.18 279 561 7 1162 0 7.057898
## 997 100.0 3.73 105 105 20 284 1 5.648974
## 998 73.0 0.37 27935 38276 27 53942 0 10.895664
## 999 83.5 0.37 58811 70429 27 89177 0 11.398378
## 1000 100.0 0.15 110 110 30 182 1 5.204007
## 1001 100.0 0.65 1268 1268 19 1921 0 7.560601
## 1002 100.0 0.53 353 353 7 677 1 6.517671
## 1003 100.0 0.19 1390 1390 7 1729 0 7.455298
## 1004 74.0 0.32 368 497 7 608 0 6.410175
## 1005 100.0 0.83 125 125 11 132 1 4.882802
## 1006 72.7 0.82 112 154 16 224 0 5.411646
## 1007 75.5 0.37 1058 1402 16 1760 0 7.473069
## 1008 72.6 0.52 191 263 17 744 0 6.612041
## 1009 99.2 0.69 238 240 28 240 1 5.480639
## 1010 100.0 0.20 2239 2239 11 2291 0 7.736743
## 1011 82.6 0.33 314 380 8 1685 0 7.429521
## 1012 100.0 0.37 132 132 19 138 0 4.927254
## 1013 98.9 0.65 90 91 7 231 1 5.442418
## 1014 89.8 0.36 1069 1190 11 3799 0 8.242494
## 1015 100.0 0.28 113 113 9 3799 0 8.242494
## 1016 72.9 0.40 194 266 4 363 0 5.894403
## 1017 100.0 2.16 529 529 30 680 0 6.522093
## 1018 85.3 1.18 924 1083 8 26052 0 10.167850
## 1019 96.4 0.32 400 415 11 1301 0 7.170888
## 1020 100.0 0.29 206 206 8 205 1 5.323010
## 1021 60.2 0.13 711 1182 8 1529 0 7.332369
## 1022 100.0 0.66 126 126 5 168 1 5.123964
## 1023 76.2 0.41 179 235 7 1337 0 7.198184
## 1024 100.0 1.77 152 152 16 230 1 5.438079
## 1025 100.0 0.94 356 356 9 366 1 5.902633
## 1026 89.6 3.78 180 201 14 350 0 5.857933
## 1027 71.6 4.18 154 215 5 384 1 5.950643
## 1028 99.6 1.00 280 281 14 328 1 5.793014
## 1029 100.0 0.92 310 310 24 385 1 5.953243
## 1030 100.0 0.57 2749 2749 21 6948 0 8.846210
## 1031 100.0 0.29 322 322 20 388 1 5.961005
## 1032 82.5 0.25 950 1151 20 1567 1 7.356918
## 1033 100.0 0.33 228 228 8 489 0 6.192362
## 1034 100.0 0.08 1435 1435 15 1719 1 7.449498
## 1035 44.3 0.11 258 582 5 1013 1 6.920671
## 1036 100.0 0.58 261 261 6 734 0 6.598509
## 1037 100.0 0.23 114 114 21 175 0 5.164786
## 1038 100.0 0.33 223 223 13 322 1 5.774551
## 1039 100.0 0.20 240 240 7 371 1 5.916202
## 1040 100.0 1.28 114 114 17 134 1 4.897840
## 1041 100.0 1.09 67 67 15 168 1 5.123964
## 1042 100.0 0.56 102 102 9 130 1 4.867535
## 1043 94.6 0.37 5243 5541 27 6685 0 8.807622
## 1044 100.0 1.49 416 416 16 1295 0 7.166266
## 1045 100.0 0.77 117 117 9 150 1 5.010635
## 1046 74.0 0.18 142 192 15 436 0 6.077642
## 1047 87.9 0.37 343 390 9 1228 0 7.113142
## 1048 92.8 0.38 308 332 14 635 0 6.453625
## 1049 79.5 0.42 454 571 14 962 1 6.869014
## 1050 100.0 0.40 78 78 12 82 1 4.406719
## 1051 100.0 4.12 441 441 6 12000 1 9.392662
## 1052 100.0 0.44 99 99 6 99 1 4.595120
## 1053 87.2 0.41 170 195 6 202 1 5.308268
## 1054 100.0 2.00 212 212 7 327 1 5.789960
## 1055 89.1 0.50 1099 1233 7 1997 1 7.599401
## 1056 100.0 0.08 226 226 6 449 1 6.107023
## 1057 100.0 0.23 157 157 5 185 1 5.220356
## 1058 100.0 1.27 773 773 30 923 1 6.827629
## 1059 44.7 1.00 519 1162 6 6358 1 8.757469
## 1060 100.0 0.33 106 106 7 119 1 4.779123
## 1061 87.6 0.41 254 290 9 338 1 5.823046
## 1062 66.3 0.61 1202 1813 9 8208 0 9.012864
## 1063 100.0 0.16 488 488 5 503 1 6.220590
## 1064 100.0 0.44 127 127 29 214 1 5.365976
## 1065 100.0 0.74 131 131 5 159 0 5.068904
## 1066 38.4 0.03 2234 5815 6 9266 0 9.134107
## 1067 100.0 4.64 150 150 24 356 1 5.874931
## 1068 39.8 3.00 882 2218 5 2218 0 7.704361
## 1069 100.0 0.34 561 561 5 1613 1 7.385851
## 1070 85.2 0.55 276 324 14 331 0 5.802118
## 1071 99.9 1.67 722 723 29 758 1 6.630683
## 1072 96.3 0.31 5502 5712 5 10216 0 9.231710
## 1073 97.6 0.41 820 840 16 877 0 6.776507
## 1074 99.3 1.24 150 151 7 163 1 5.093750
## 1075 100.0 1.16 373 373 7 607 1 6.408529
## 1076 71.7 0.43 195 272 13 461 1 6.133398
## 1077 100.0 4.25 144 144 6 148 1 4.997212
## 1078 100.0 0.41 90 90 33 197 1 5.283204
## 1079 87.0 0.55 114 131 22 1229 0 7.113956
## 1080 84.6 0.50 838 990 8 1582 0 7.366445
## 1081 75.5 0.37 1516 2008 7 4273 0 8.360071
## 1082 62.9 0.20 1368 2176 7 4273 0 8.360071
## 1083 100.0 3.03 625 625 28 2685 0 7.895436
## 1084 100.0 0.37 830 830 7 939 0 6.844815
## 1085 89.0 0.20 291 327 7 1170 0 7.064759
## 1086 83.3 0.31 2319 2784 10 3154 0 8.056427
## 1087 82.7 0.33 234 283 7 1153 0 7.050123
## 1088 100.0 0.41 461 461 6 6938 0 8.844769
## 1089 100.0 0.41 200 200 6 6938 0 8.844769
## 1090 100.0 0.41 756 756 6 6938 0 8.844769
## 1091 100.0 0.41 303 303 6 6938 0 8.844769
## 1092 87.5 1.00 1633 1867 20 8686 0 9.069468
## 1093 100.0 2.94 303 303 8 539 0 6.289716
## 1094 73.9 0.45 133 180 7 302 0 5.710427
## 1095 64.0 0.84 304 475 5 517 0 6.248043
## 1096 100.0 0.96 387 387 9 482 1 6.177944
## 1097 74.6 0.10 4597 6162 7 11649 0 9.362976
## 1098 84.3 0.88 70 83 7 180 1 5.192957
## 1099 100.0 1.19 241 241 27 503 1 6.220590
## 1100 75.1 0.13 368 490 24 987 0 6.894670
## 1101 100.0 1.53 420 420 14 2964 0 7.994295
## 1102 100.0 1.85 2103 2103 5 2964 0 7.994295
## 1103 100.0 1.43 51 51 16 146 1 4.983607
## 1104 100.0 0.40 176 176 5 176 1 5.170484
## 1105 100.0 0.66 231 231 5 488 1 6.190315
## 1106 100.0 1.66 205 205 9 209 0 5.342334
## 1107 100.0 0.84 214 214 25 258 1 5.552959
## 1108 100.0 0.46 4474 4474 27 6512 0 8.781402
## 1109 95.0 0.37 515 542 14 894 1 6.795706
## 1110 100.0 3.59 193 193 5 309 1 5.733341
## 1111 99.4 0.58 174 175 7 508 0 6.230482
## 1112 93.2 0.68 204 219 7 295 1 5.686975
## 1113 91.6 0.19 327 357 9 500 1 6.214608
## 1114 100.0 0.58 246 246 6 246 0 5.505332
## 1115 100.0 0.60 2667 2667 23 17865 1 9.790599
## 1116 50.7 0.08 336 663 5 705 0 6.558198
## 1117 91.4 0.56 159 174 6 206 0 5.327876
## 1118 100.0 0.09 143 143 6 503 1 6.220590
## 1119 89.9 1.02 240 267 33 895 0 6.796824
## 1120 71.7 0.34 803 1120 9 1801 0 7.496098
## 1121 67.8 0.33 99 146 7 203 1 5.313206
## 1122 66.6 0.41 1116 1676 9 1850 0 7.522941
## 1123 91.9 0.40 375 408 10 408 0 6.011267
## 1124 99.2 0.36 122 123 10 123 0 4.812184
## 1125 88.0 0.54 191 217 8 232 0 5.446737
## 1126 59.2 0.23 12083 20394 39 27000 0 10.203592
## 1127 89.0 0.44 12305 13822 31 24510 0 10.106836
## 1128 100.0 0.95 432 432 41 613 1 6.418365
## 1129 75.3 0.13 374 497 10 517 0 6.248043
## 1130 81.3 0.43 883 1086 39 1481 0 7.300473
## 1131 100.0 0.44 162 162 15 212 1 5.356586
## 1132 100.0 2.84 482 482 32 716 0 6.573680
## 1133 95.4 0.48 7124 7469 33 29131 0 10.279558
## 1134 91.7 0.33 17636 19242 33 29131 0 10.279558
## 1135 97.2 0.49 172 177 38 689 0 6.535241
## 1136 79.7 0.50 247 310 24 338 0 5.823046
## 1137 79.0 0.51 452 572 18 906 1 6.809039
## 1138 93.3 0.39 181 194 23 239 0 5.476463
## 1139 94.2 0.54 36552 38798 40 60916 0 11.017251
## 1140 76.3 0.52 8723 11430 28 19116 0 9.858281
## 1141 100.0 2.98 957 957 27 3225 1 8.078689
## 1142 100.0 3.14 1515 1515 40 4838 0 8.484257
## 1143 77.7 0.46 3262 4199 36 6874 0 8.835502
## 1144 82.3 0.18 116 141 5 160 0 5.075174
## 1145 76.1 0.25 38977 51189 9 57279 0 10.955689
## 1146 82.5 0.53 255 309 7 324 1 5.780744
## 1147 100.0 0.33 306 306 33 522 0 6.257668
## 1148 82.7 0.41 1084 1310 25 2388 0 7.778212
## 1149 91.5 1.32 929 1015 38 2388 0 7.778212
## 1150 84.2 0.43 133 158 32 2156 0 7.676010
## 1151 78.0 0.36 578 741 37 979 0 6.886532
## 1152 100.0 0.55 750 750 13 924 1 6.828712
## 1153 93.9 0.42 139 148 32 165 1 5.105946
## 1154 91.1 0.39 2220 2437 16 4036 0 8.303009
## 1155 100.0 0.64 99 99 16 271 1 5.602119
## 1156 100.0 1.63 103 103 23 591 0 6.381816
## 1157 100.0 2.30 89 89 33 456 1 6.122493
## 1158 100.0 3.98 176 176 24 428 0 6.059123
## 1159 100.0 1.70 1349 1349 16 2548 1 7.843064
## 1160 81.3 0.81 87 107 23 243 0 5.493062
## 1161 100.0 4.38 197 197 19 589 0 6.378426
## 1162 83.8 0.38 358 427 7 3980 0 8.289037
## 1163 71.6 1.91 682 953 40 1312 0 7.179308
## 1164 100.0 0.34 61 61 16 69 1 4.234107
## 1165 100.0 1.61 1121 1121 25 1745 1 7.464510
## 1166 99.9 0.95 1004 1005 22 1094 1 6.997596
## 1167 100.0 0.03 1570 1570 31 31853 1 10.368887
## 1168 100.0 1.63 582 582 41 12811 0 9.458059
## 1169 99.8 0.71 2726 2731 25 3133 1 8.049747
## 1170 90.3 0.53 215 238 6 342 1 5.834811
## 1171 100.0 0.97 88 88 20 284 1 5.648974
## 1172 100.0 2.75 378 378 29 477 1 6.167517
## 1173 90.3 0.35 243 269 29 399 0 5.988961
## 1174 100.0 1.50 92 92 32 165 1 5.105946
## 1175 100.0 2.36 135 135 21 135 0 4.905275
## 1176 100.0 1.79 264 264 21 264 0 5.575949
## 1177 100.0 0.80 680 680 24 858 0 6.754604
## 1178 100.0 0.17 4439 4439 7 5179 0 8.552367
## 1179 70.3 0.45 473 673 9 2549 0 7.843456
## 1180 100.0 0.44 529 529 7 529 1 6.270988
## 1181 100.0 1.02 171 171 19 492 1 6.198479
## 1182 100.0 0.12 330 330 19 330 1 5.799093
## 1183 91.6 0.75 4511 4926 22 9417 0 9.150271
## 1184 100.0 1.11 2706 2706 24 3068 1 8.028781
## 1185 44.1 0.38 1067 2422 7 3473 0 8.152774
## 1186 100.0 0.57 1251 1251 13 1300 1 7.170120
## 1187 86.9 0.25 126 145 11 230 0 5.438079
## 1188 100.0 0.67 270 270 23 474 1 6.161207
## 1189 100.0 1.66 1167 1167 25 1602 1 7.379008
## 1190 62.2 0.16 634 1020 7 1020 0 6.927558
## 1191 77.3 0.35 656 849 7 36962 0 10.517646
## 1192 76.9 0.19 100 130 7 195 1 5.273000
## 1193 53.1 0.22 220 414 8 1460 0 7.286192
## 1194 66.5 0.25 179 269 7 269 1 5.594711
## 1195 100.0 0.29 13518 13518 21 18677 0 9.835048
## 1196 100.0 2.45 10518 10518 13 19055 1 9.855084
## 1197 100.0 0.71 43410 43410 42 65151 0 11.084463
## 1198 100.0 0.28 1539 1539 14 1539 1 7.338888
## 1199 70.5 0.45 308 437 5 476 1 6.165418
## 1200 61.5 0.71 2057 3343 19 22026 1 9.999979
## 1201 90.0 0.45 955 1061 14 1223 1 7.109062
## 1202 100.0 0.26 492 492 9 526 0 6.265301
## 1203 100.0 0.53 108 108 8 144 1 4.969813
## 1204 63.3 0.20 1774 2804 9 8546 0 9.053219
## 1205 56.7 0.16 2707 4775 7 6740 1 8.815815
## 1206 100.0 0.96 579 579 16 844 1 6.738153
## 1207 100.0 1.33 123 123 19 171 1 5.141664
## 1208 100.0 0.42 111 111 7 158 1 5.062595
## 1209 68.7 0.16 491 715 7 1012 0 6.919684
## 1210 93.2 0.50 11420 12249 27 29557 0 10.294076
## 1211 100.0 0.05 583 583 8 666 1 6.501290
## 1212 76.4 2.05 223 292 11 333 1 5.808143
## 1213 88.6 1.28 1640 1852 6 4094 0 8.317278
## 1214 100.0 1.03 155 155 10 240 1 5.480639
## 1215 80.6 0.20 228 283 7 385 1 5.953243
## 1216 100.0 2.31 283 283 8 341 0 5.831882
## 1217 84.9 0.41 118 139 7 405 1 6.003887
## 1218 90.5 0.37 12981 14339 40 50697 0 10.833622
## 1219 100.0 0.27 704 704 17 50697 0 10.833622
## 1220 100.0 0.08 613 613 22 50697 0 10.833622
## 1221 100.0 0.37 1075 1075 22 50697 0 10.833622
## 1222 78.8 0.43 216 274 8 370 1 5.913503
## 1223 46.9 0.23 307 655 8 655 1 6.484635
## 1224 91.7 0.16 7673 8364 37 11930 0 9.386811
## 1225 100.0 1.78 129 129 15 286 0 5.655992
## 1226 100.0 0.34 119 119 11 152 0 5.023880
## 1227 88.2 0.40 240 272 16 338 1 5.823046
## 1228 100.0 0.43 127 127 7 334 1 5.811141
## 1229 86.3 0.80 594 688 6 929 0 6.834109
## 1230 61.4 0.21 89 145 8 186 1 5.225747
## 1231 97.1 0.42 167 172 18 196 1 5.278115
## 1232 76.3 0.30 297 389 9 569 0 6.343881
## 1233 86.5 0.40 147 170 23 205 0 5.323010
## 1234 35.8 0.17 435 1215 5 1517 1 7.324490
## 1235 74.7 1.13 515 689 6 26052 1 10.167850
## 1236 100.0 0.86 684 684 13 859 0 6.755769
## 1237 51.9 0.11 309 595 6 603 1 6.401917
## 1238 62.0 0.12 455 734 5 910 1 6.813445
## 1239 78.6 0.54 869 1105 5 1396 1 7.241366
## 1240 81.8 0.80 270 330 12 398 1 5.986452
## 1241 28.6 0.18 1172 4101 9 4688 0 8.452762
## 1242 100.0 0.11 600 600 8 935 0 6.840547
## 1243 100.0 0.50 446 446 6 468 0 6.148468
## 1244 100.0 2.41 119 119 12 119 1 4.779123
## 1245 100.0 0.35 600 600 6 856 1 6.752270
## 1246 100.0 0.26 199 199 12 661 0 6.493754
## 1247 100.0 0.24 197 197 30 450 1 6.109248
## 1248 80.9 0.36 8975 11099 42 12721 0 9.451010
## 1249 49.2 0.41 493 1003 18 1599 0 7.377134
## 1250 100.0 2.30 127 127 25 589 1 6.378426
## 1251 100.0 0.67 202 202 8 202 1 5.308268
## 1252 75.2 0.39 2949 3921 11 6584 0 8.792397
## 1253 100.0 1.04 149 149 15 232 1 5.446737
## 1254 87.4 0.40 209 239 7 1605 0 7.380879
## 1255 3.0 0.38 1049 34547 8 88975 0 11.396111
## 1256 84.6 0.44 126 149 9 155 1 5.043425
## 1257 93.3 0.47 16579 17766 8 70707 0 11.166300
## 1258 67.2 0.19 240 357 8 2384 0 7.776535
## 1259 59.9 0.18 1195 1994 8 2384 0 7.776535
## 1260 100.0 0.40 128 128 15 138 1 4.927254
## 1261 86.5 0.50 587 679 5 694 0 6.542472
## 1262 100.0 0.34 126 126 7 241 1 5.484797
## 1263 100.0 0.19 514 514 9 756 0 6.628041
## 1264 100.0 4.78 358 358 7 661 1 6.493754
## 1265 100.0 3.85 237 237 8 317 1 5.758902
## 1266 100.0 0.31 309 309 33 355 0 5.872118
## 1267 62.0 0.19 325 524 12 718 0 6.576469
## 1268 100.0 1.25 2667 2667 16 6344 0 8.755265
## 1269 98.9 1.27 177 179 5 208 1 5.337538
## 1270 64.6 0.30 363 562 5 639 1 6.459905
## 1271 84.1 0.44 143 170 8 279 1 5.631212
## 1272 14.9 0.22 1011 6801 7 9188 1 9.125653
## 1273 81.7 0.47 3168 3879 7 10526 0 9.261603
## 1274 68.3 0.42 112 164 16 262 1 5.568345
## 1275 100.0 0.40 136 136 12 320 1 5.768321
## 1276 100.0 2.89 765 765 36 3625 0 8.195609
## 1277 80.4 0.05 234 291 8 389 1 5.963579
## 1278 72.6 0.32 3349 4615 8 41406 0 10.631181
## 1279 100.0 0.61 813 813 7 2413 0 7.788626
## 1280 90.5 0.39 3261 3603 27 3915 0 8.272571
## 1281 100.0 0.32 77 77 13 181 0 5.198497
## 1282 80.6 0.17 489 607 7 1944 0 7.572503
## 1283 64.4 0.32 2013 3128 7 4561 0 8.425297
## 1284 73.0 0.33 712 975 13 1148 0 7.045776
## 1285 85.4 0.48 164 192 27 327 1 5.789960
## 1286 70.2 0.12 335 477 14 2679 0 7.893199
## 1287 86.5 0.37 38493 44517 27 88975 0 11.396111
## 1288 76.4 0.38 26405 34547 27 88975 0 11.396111
## 1289 100.0 0.87 222 222 28 231 0 5.442418
## 1290 100.0 0.97 72 72 33 98 1 4.584968
## 1291 90.8 0.69 45288 49893 26 117414 0 11.673461
## 1292 77.0 0.44 33430 43428 30 54497 0 10.905901
## 1293 81.2 1.14 613 755 10 1170 1 7.064759
## 1294 58.2 0.56 318 546 6 912 1 6.815640
## 1295 60.9 0.32 227 373 17 434 0 6.073044
## 1296 94.4 0.12 135 143 6 226 1 5.420535
## 1297 71.1 0.38 1590 2235 8 9741 1 9.184099
## 1298 69.8 0.43 268 384 7 492 0 6.198479
## 1299 65.0 0.36 2456 3776 5 7360 1 8.903815
## 1300 89.0 0.34 3942 4428 31 4549 0 8.422663
## 1301 67.0 0.53 293 437 7 628 1 6.442540
## 1302 87.6 0.36 14890 16996 28 18364 0 9.818148
## 1303 100.0 0.38 10881 10881 9 29203 0 10.282026
## 1304 100.0 0.21 5378 5378 48 6561 0 8.788898
## 1305 100.0 0.54 448 448 6 494 0 6.202536
## 1306 100.0 3.33 155 155 17 539 1 6.289716
## 1307 97.9 0.36 5154 5266 16 7324 0 8.898911
## 1308 72.8 0.46 107 147 8 174 0 5.159055
## 1309 100.0 1.16 210 210 21 359 0 5.883322
## 1310 100.0 0.19 117 117 41 135 1 4.905275
## 1311 100.0 1.86 491 491 34 1171 1 7.065613
## 1312 100.0 2.76 387 387 40 482 1 6.177944
## 1313 100.0 0.79 2168 2168 9 2515 0 7.830028
## 1314 100.0 4.91 102 102 17 154 1 5.036952
## 1315 87.5 0.29 4298 4911 26 11047 0 9.309915
## 1316 100.0 0.55 1940 1940 15 2843 0 7.952615
## 1317 80.6 0.22 150 186 7 289 0 5.666427
## 1318 60.8 1.25 146 240 8 347 0 5.849325
## 1319 73.8 0.25 459 622 40 846 0 6.740520
## 1320 100.0 1.15 806 806 9 1645 1 7.405496
## 1321 73.7 0.35 143 194 7 505 0 6.224558
## 1322 92.4 0.35 219 237 33 340 1 5.828946
## 1323 100.0 1.47 93 93 5 122 0 4.804021
## 1324 85.0 0.39 734 864 7 986 0 6.893656
## 1325 100.0 0.99 204 204 9 253 1 5.533390
## 1326 85.3 0.39 5507 6459 14 28544 0 10.259202
## 1327 85.8 0.50 11623 13553 24 78182 0 11.266795
## 1328 89.0 0.50 50985 57288 24 78183 0 11.266808
## 1329 79.4 0.51 2532 3188 7 78182 0 11.266795
## 1330 64.3 0.12 2861 4452 11 6359 0 8.757627
## 1331 91.8 0.31 191 208 10 337 0 5.820083
## 1332 100.0 0.46 246 246 38 300 1 5.703783
## 1333 98.4 0.33 932 947 8 1137 1 7.036149
## 1334 82.6 0.43 152 184 5 223 1 5.407172
## 1335 84.3 0.94 698 828 16 859 0 6.755769
## 1336 100.0 1.86 134 134 8 179 1 5.187386
## 1337 100.0 0.69 7087 7087 18 11643 0 9.362460
## 1338 70.2 0.50 708 1009 15 1442 1 7.273787
## 1339 100.0 1.48 108 108 27 365 0 5.899898
## 1340 95.8 0.40 2184 2280 15 3544 0 8.173012
## 1341 100.0 0.20 229 229 7 232 1 5.446737
## 1342 100.0 2.08 94 94 5 147 1 4.990433
## 1343 100.0 0.76 113 113 9 407 1 6.008813
## 1344 100.0 0.32 161 161 26 220 1 5.393628
## 1345 100.0 1.77 126 126 6 216 1 5.375278
## 1346 79.8 0.42 1769 2218 22 2571 0 7.852050
## 1347 58.4 0.21 9276 15881 25 18404 0 9.820323
## 1348 100.0 1.00 176 176 5 650 0 6.476973
## 1349 100.0 0.40 153 153 8 186 0 5.225747
## 1350 79.6 0.49 180 226 24 255 0 5.541264
## 1351 100.0 0.30 1172 1172 12 1384 0 7.232733
## 1352 100.0 0.79 1172 1172 11 1384 0 7.232733
## 1353 81.7 0.41 250 306 7 382 0 5.945421
## 1354 100.0 0.17 232 232 8 385 1 5.953243
## 1355 100.0 0.17 134 134 7 174 1 5.159055
## 1356 100.0 0.03 95 95 19 146 1 4.983607
## 1357 100.0 1.30 129 129 30 236 0 5.463832
## 1358 100.0 2.18 157 157 8 193 1 5.262690
## 1359 100.0 0.69 560 560 16 625 1 6.437752
## 1360 100.0 0.63 23000 23000 9 44450 0 10.702120
## 1361 100.0 0.64 190 190 9 907 1 6.810143
## 1362 100.0 0.59 129 129 26 185 1 5.220356
## 1363 100.0 0.26 254 254 21 295 1 5.686975
## 1364 100.0 1.60 1542 1542 9 2508 0 7.827241
## 1365 100.0 0.20 234 234 5 290 1 5.669881
## 1366 31.4 0.03 922 2933 6 4212 0 8.345693
## 1367 98.5 0.59 128 130 7 130 1 4.867535
## 1368 100.0 1.25 770 770 26 823 1 6.712956
## 1369 100.0 3.70 640 640 8 825 0 6.715384
## 1370 100.0 0.03 190 190 6 480 1 6.173786
## 1371 100.0 0.58 402 402 7 629 1 6.444131
## 1372 73.9 0.18 677 916 6 1026 0 6.933423
## 1373 100.0 1.00 150 150 9 240 1 5.480639
## 1374 79.3 0.38 571 720 19 5802 1 8.665958
## 1375 70.6 0.40 173 245 40 870 1 6.768493
## 1376 100.0 0.22 102 102 22 115 0 4.744932
## 1377 69.3 0.76 280 404 27 909 1 6.812345
## 1378 93.4 0.07 576 617 7 617 0 6.424869
## 1379 100.0 2.32 318 318 27 319 0 5.765191
## 1380 84.7 0.38 149 176 7 196 1 5.278115
## 1381 100.0 0.04 196 196 9 303 1 5.713733
## 1382 100.0 0.34 1224 1224 12 1805 0 7.498316
## 1383 100.0 0.14 168 168 19 176 1 5.170484
## 1384 100.0 0.72 138 138 20 157 1 5.056246
## 1385 100.0 0.46 186 186 15 212 1 5.356586
## 1386 94.4 1.51 84 89 12 124 0 4.820282
## 1387 100.0 0.53 644 644 8 727 0 6.588926
## 1388 62.5 0.40 95 152 7 315 1 5.752573
## 1389 53.7 0.09 440 820 8 965 0 6.872128
## 1390 100.0 0.64 241 241 25 392 1 5.971262
## 1391 100.0 1.13 268 268 15 464 1 6.139884
## 1392 100.0 1.06 417 417 24 419 0 6.037871
## 1393 87.7 1.90 408 465 18 702 0 6.553934
## 1394 85.7 0.51 180 210 8 214 0 5.365976
## 1395 100.0 0.38 123 123 6 459 0 6.129050
## 1396 62.9 1.21 1415 2251 19 18700 1 9.836279
## 1397 100.0 0.71 240 240 10 318 1 5.762052
## 1398 100.0 1.34 169 169 21 280 1 5.634789
## 1399 56.7 0.09 135 238 8 288 1 5.662961
## 1400 100.0 0.14 640 640 5 837 0 6.729824
## 1401 100.0 1.93 284 284 18 284 1 5.648974
## 1402 100.0 0.18 469 469 19 475 0 6.163315
## 1403 60.3 0.27 232 385 12 423 1 6.047372
## 1404 21.3 0.38 766 3600 6 4500 1 8.411833
## 1405 85.7 0.40 699 816 7 1504 0 7.315884
## 1406 100.0 0.39 225 225 8 519 0 6.251904
## 1407 100.0 0.72 149 149 16 170 1 5.135798
## 1408 71.7 0.79 266 371 31 543 0 6.297109
## 1409 91.7 0.27 144 157 9 505 1 6.224558
## 1410 100.0 0.69 2351 2351 8 2351 1 7.762596
## 1411 55.9 0.39 243 435 7 625 0 6.437752
## 1412 94.2 0.16 373 396 18 608 1 6.410175
## 1413 100.0 1.61 110 110 21 178 1 5.181784
## 1414 96.5 0.51 750 777 5 873 0 6.771935
## 1415 100.0 0.12 100 100 22 186 1 5.225747
## 1416 87.6 0.66 106 121 5 398 1 5.986452
## 1417 77.3 0.32 1482 1916 9 22023 0 9.999843
## 1418 100.0 0.42 103 103 7 417 0 6.033086
## 1419 100.0 1.88 72 72 19 138 1 4.927254
## 1420 62.7 0.36 16545 26395 22 39378 0 10.580962
## 1421 100.0 0.48 256 256 7 431 1 6.066108
## 1422 100.0 0.32 336 336 7 359 0 5.883322
## 1423 89.7 0.36 2313 2578 12 4540 0 8.420682
## 1424 100.0 0.23 621 621 8 720 1 6.579251
## 1425 100.0 2.37 131 131 13 166 1 5.111988
## 1426 100.0 0.20 449 449 6 19744 1 9.890605
## 1427 77.7 0.14 290 373 5 978 1 6.885509
## 1428 56.8 0.26 643 1132 6 1281 0 7.155396
## 1429 58.2 0.36 185 318 11 332 1 5.805135
## 1430 100.0 0.36 240 240 9 300 0 5.703783
## 1431 100.0 0.94 2031 2031 6 2898 1 7.971776
## 1432 70.0 0.31 91 130 6 252 1 5.529429
## 1433 60.1 1.77 101 168 5 359 1 5.883322
## 1434 100.0 1.16 168 168 21 168 1 5.123964
## 1435 100.0 1.35 137 137 11 163 1 5.093750
## 1436 78.1 0.31 3703 4743 5 6994 0 8.852808
## 1437 78.1 0.31 3703 4743 5 6994 0 8.852808
## 1438 100.0 0.49 166 166 6 264 1 5.575949
## 1439 100.0 0.54 100 100 6 124 0 4.820282
## 1440 100.0 0.59 475 475 8 562 0 6.331502
## 1441 100.0 0.79 571 571 7 926 0 6.830874
## 1442 100.0 0.66 764 764 9 830 1 6.721426
## 1443 92.6 2.31 100 108 8 160 1 5.075174
## 1444 100.0 1.86 157 157 6 157 1 5.056246
## 1445 61.7 0.41 513 832 6 979 1 6.886532
## 1446 55.5 0.09 161 290 5 493 1 6.200509
## 1447 100.0 0.93 190 190 12 190 1 5.247024
## 1448 100.0 0.07 128 128 7 182 1 5.204007
## 1449 100.0 1.96 175 175 9 214 1 5.365976
## 1450 100.0 1.99 427 427 13 627 1 6.440947
## 1451 17.4 0.29 265 1524 5 1549 0 7.345365
## 1452 100.0 0.12 254 254 7 345 1 5.843544
## 1453 90.8 1.18 1448 1594 21 26052 1 10.167850
## 1454 100.0 0.28 108 108 6 325 1 5.783825
## 1455 99.6 0.24 229 230 13 230 1 5.438079
## 1456 76.4 0.40 2652 3469 8 60258 0 11.006391
## 1457 43.8 0.20 1372 3130 6 10990 1 9.304741
## 1458 100.0 0.39 191 191 13 393 1 5.973810
## 1459 100.0 0.58 110 110 5 211 1 5.351858
## 1460 79.3 0.43 318 401 9 57065 1 10.951946
## 1461 100.0 0.90 617 617 10 938 1 6.843750
## 1462 100.0 0.76 180 180 10 242 1 5.488938
## 1463 51.5 0.23 177 344 7 419 1 6.037871
## 1464 88.4 1.26 61 69 8 210 0 5.347107
## 1465 79.9 0.67 147 184 51 309 0 5.733341
## 1466 80.8 0.69 101 125 29 309 0 5.733341
## 1467 92.6 0.59 261 282 6 510 0 6.234411
## 1468 100.0 1.29 694 694 10 1289 1 7.161622
## 1469 92.5 0.52 297 321 22 364 1 5.897154
## 1470 43.3 0.15 384 886 7 1191 1 7.082549
## 1471 45.8 0.44 1690 3691 7 5865 1 8.676758
## 1472 67.2 0.19 117 174 6 305 1 5.720312
## 1473 100.0 0.12 3565 3565 9 3565 1 8.178920
## 1474 79.3 0.71 107 135 5 216 1 5.375278
## 1475 78.8 0.46 761 966 8 980 0 6.887553
## 1476 100.0 0.29 764 764 6 962 0 6.869014
## 1477 100.0 0.38 113 113 8 185 0 5.220356
## 1478 50.9 0.52 144 283 9 796 1 6.679599
## 1479 81.6 0.42 142 174 8 177 1 5.176150
## 1480 77.6 0.36 222 286 7 381 0 5.942800
## 1481 93.9 0.50 400 426 8 457 1 6.124683
## 1482 80.9 0.47 555 686 16 1399 0 7.243513
## 1483 100.0 0.21 159 159 6 189 1 5.241747
## 1484 85.8 0.16 1138 1327 18 1328 0 7.191429
## 1485 100.0 1.01 121 121 6 537 1 6.285998
## 1486 100.0 0.29 184 184 7 231 1 5.442418
## 1487 100.0 2.64 207 207 6 259 1 5.556828
## 1488 100.0 0.52 3405 3405 8 4792 0 8.474703
## 1489 70.9 0.41 100 141 8 141 1 4.948760
## 1490 100.0 0.95 183 183 5 223 1 5.407172
## 1491 100.0 1.04 1590 1590 12 1612 0 7.385231
## 1492 91.8 0.97 167 182 9 525 1 6.263398
## 1493 72.1 0.12 202 280 6 1564 0 7.355002
## 1494 100.0 0.43 98 98 12 167 1 5.117994
## 1495 74.7 0.39 74 99 8 170 1 5.135798
## 1496 72.9 0.81 3601 4937 6 7061 0 8.862342
## 1497 100.0 2.90 110 110 8 129 0 4.859812
## 1498 63.6 0.34 673 1059 9 2700 1 7.901007
## 1499 52.7 0.45 196 372 12 486 0 6.186209
## 1500 83.3 0.03 209 251 8 520 0 6.253829
## 1501 84.9 0.27 118 139 18 148 0 4.997212
## 1502 100.0 0.10 129 129 10 132 0 4.882802
## 1503 70.9 0.50 280 395 5 1777 0 7.482682
## 1504 68.8 0.38 350 509 5 577 1 6.357842
## 1505 82.6 0.56 2282 2763 24 4090 0 8.316300
## 1506 100.0 0.78 15923 15923 26 45000 0 10.714417
## 1507 100.0 3.10 92 92 26 108 1 4.682131
## 1508 99.5 0.71 5097 5123 41 8331 1 9.027739
## 1509 91.9 0.21 203 221 14 241 1 5.484797
## 1510 68.7 0.19 1762 2566 7 3894 1 8.267192
## 1511 73.8 0.35 107 145 7 215 0 5.370638
## 1512 100.0 2.67 1376 1376 13 1376 1 7.226936
## 1513 78.5 0.31 1772 2256 6 2332 0 7.754481
## 1514 99.2 0.40 2254 2273 36 18706 0 9.836599
## 1515 100.0 0.87 193 193 8 193 0 5.262690
## 1516 79.1 0.51 121 153 8 6951 0 8.846641
## 1517 81.0 0.98 162 200 7 236 0 5.463832
## 1518 93.1 0.65 256 275 7 398 0 5.986452
## 1519 100.0 0.80 417 417 8 459 1 6.129050
## 1520 68.9 0.60 665 965 6 1603 1 7.379632
## 1521 100.0 1.73 1086 1086 9 2817 0 7.943428
## 1522 59.6 0.05 271 455 8 507 0 6.228511
## 1523 100.0 3.24 2477 2477 30 3523 0 8.167068
## 1524 52.4 0.31 1392 2659 8 34393 0 10.445608
## 1525 100.0 0.99 325 325 39 439 1 6.084499
## 1526 54.9 0.40 203 370 7 521 0 6.255750
## 1527 100.0 4.02 432 432 34 660 0 6.492240
## 1528 89.1 1.40 212 238 31 469 1 6.150603
## 1529 60.6 0.06 829 1367 7 1828 0 7.510978
## 1530 85.1 0.33 553 650 24 907 0 6.810143
## 1531 100.0 2.52 142 142 17 197 1 5.283204
## 1532 100.0 2.27 1928 1928 35 2171 0 7.682943
## 1533 100.0 0.58 166 166 8 931 1 6.836259
## 1534 100.0 0.45 2179 2179 24 3187 0 8.066835t1=wooldridge::k401k- Using data from “k401k” data set, estimate prate = f(mrate). Interpret the intercept and the coefficient. Find the predicted prate, when mrate = 3.5. How much variation in prate is explained by mrate? Test the regression assumptions and comment on the results.
ts1 <- lm(prate ~ mrate, data = t1)
summary(ts1)##
## Call:
## lm(formula = prate ~ mrate, data = t1)
##
## Residuals:
## Min 1Q Median 3Q Max
## -82.303 -8.184 5.178 12.712 16.807
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 83.0755 0.5633 147.48 <2e-16 ***
## mrate 5.8611 0.5270 11.12 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 16.09 on 1532 degrees of freedom
## Multiple R-squared: 0.0747, Adjusted R-squared: 0.0741
## F-statistic: 123.7 on 1 and 1532 DF, p-value: < 2.2e-16#1.In the linear regression model applied, a value of 83.07 was obtained for the intercept, which indicates the participation rate (prate) when the mrate=0. On the other hand, a value of 5.86 was obtained for the coefficient (mrate), which indicates that the prate can increase by that value when the mrate increases by one unit. The p-values also obtained show that with a significance level of 0 mrate is statistically significant (In significance tests, mrate has a p-value of less than 5% so it is significant for the model). The value of R squared tell us that 7.47% of the variation in prate is explained by the model.#prediction
Y=83.0755+5.8611*3.5;Y## [1] 103.5894#2.When mrate is 3.5 and the equation of the line is made to predict Y, we obtain that the predicted prate is 103.5894model.diag <- broom::augment(ts1)
model.diag## # A tibble: 1,534 × 8
## prate mrate .fitted .resid .hat .sigma .cooksd .std.resid
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 26.1 0.210 84.3 -58.2 0.000944 16.0 0.00619 -3.62
## 2 100 1.42 91.4 8.60 0.00116 16.1 0.000166 0.535
## 3 97.6 0.910 88.4 9.19 0.000686 16.1 0.000112 0.572
## 4 100 0.420 85.5 14.5 0.000756 16.1 0.000306 0.899
## 5 82.5 0.530 86.2 -3.68 0.000695 16.1 0.0000182 -0.229
## 6 100 1.82 93.7 6.26 0.00192 16.1 0.000146 0.389
## 7 100 0.530 86.2 13.8 0.000695 16.1 0.000257 0.859
## 8 92.5 0.340 85.1 7.43 0.000816 16.1 0.0000873 0.462
## 9 100 0.220 84.4 15.6 0.000933 16.1 0.000441 0.972
## 10 96.8 0.600 86.6 10.2 0.000670 16.1 0.000135 0.635
## # … with 1,524 more rowsggplot(model.diag, aes(mrate, prate)) +
geom_point() +
stat_smooth(method = lm, se = FALSE) +
geom_segment(aes(xend = mrate, yend = .fitted), color = "red", size = 0.3)## `geom_smooth()` using formula 'y ~ x'
#ASSUMPTIONS
plot(ts1)
plot(ts1,5)# Residual versus leverage plot
plot(ts1,4)# Cooks distance
plot(ts1,3)# Scale location plot, homocedasticity
plot(ts1,2)#normality
plot(ts1,1)#non-linear patterns
#3. data are not normally distributed, are independent, have no homoscedasticity and have a nonlinear pattern.- Using data from “ceosal2” data set, estimate log (salary) = f(ceoten). Interpret the coefficient. What is the predicted percentage increase in salary given one more year as CEO? Test the regression assumptions and comment on the results.
d1 <- wooldridge::ceosal2
rg1 <- lm(log(salary) ~ ceoten, data = d1)
summary(rg1)##
## Call:
## lm(formula = log(salary) ~ ceoten, data = d1)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.15314 -0.38319 -0.02251 0.44439 1.94337
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.505498 0.067991 95.682 <2e-16 ***
## ceoten 0.009724 0.006364 1.528 0.128
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6038 on 175 degrees of freedom
## Multiple R-squared: 0.01316, Adjusted R-squared: 0.007523
## F-statistic: 2.334 on 1 and 175 DF, p-value: 0.1284#1.In the linear regression model applied, a value of 6.50 was obtained for the intercept, which indicates the log(salary) when the tenure= 0. On the other hand, a value of 0.009 was obtained for the coefficient (tenure), which indicates that the salary can increase by 0.97% when the tenure increases by one unit (one more year as CEO). The p-values also obtained show that with a significance level of 0 the intercept is statistically significant (In significance tests, intercept has a p-value of less than 5% so it is significant for the model). The value of R squared tell us that 1.31%% of the variation in salary is explained by the model#ASSUMPTIONS
plot(rg1)
plot(rg1,5)# Residual versus leverage plot
plot(rg1,4)# Cooks distance
plot(rg1,3)# Scale location plot, homocedasticity
plot(rg1,2)#normality
plot(rg1,1)#non-linear patterns
#RESIDUAL VS LEVERAGE PLOT
#This plot is used to identify influential observations. If any points in this plot fall outside of Cook’s distance (the dashed lines) then it is an influential observation. #SCALE LOCATION PLOT
#This plot is used to check the assumption of equal variance (also called “homoscedasticity”) among the residuals in our regression model. If the red line is roughly horizontal across the plot, then the assumption of equal variance is likely met, for this graph we could say that the line is almost horizontal with some deviation along the right tail#NORMALITY
#This plot is used to determine if the residuals of the regression model are normally distributed. If the points in this plot fall roughly along a straight diagonal line, then we can assume the residuals are normally distributed.With exception of some variations on the tails, we can assume the residuals are normally distributes, according to the plot.#NON-LINEAR PATTERNS
#This plot is used to determine if the residuals exhibit non-linear patterns. If the red line across the center of the plot is roughly horizontal then we can assume that the residuals follow a linear pattern. We can say the line is roughly horizontal, therefore, the residuals follow a linear pattern- Using “sleep75” data set, estimate sleep = f(totwrk). Interpret the coefficient and R2. If totwrk increases by 2 hours, by how much is sleep estimated to fall? Test the regression assumptions and comment on the results.
d1 <- wooldridge::sleep75
rg1 <- lm(sleep ~ totwrk, data = d1)
summary(rg1)##
## Call:
## lm(formula = sleep ~ totwrk, data = d1)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2429.94 -240.25 4.91 250.53 1339.72
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3586.37695 38.91243 92.165 <2e-16 ***
## totwrk -0.15075 0.01674 -9.005 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 421.1 on 704 degrees of freedom
## Multiple R-squared: 0.1033, Adjusted R-squared: 0.102
## F-statistic: 81.09 on 1 and 704 DF, p-value: < 2.2e-16#1.In the linear regression model applied, a value of 3586.37 was obtained for the intercept, which indicates the minutes slept at night per week when the minutes worked per week= 0. On the other hand, a value of -0.15 was obtained for the coefficient (totwrk), which indicates that the sleep can decrease by that value when the totwork increases by one unit (one more minute). The p-values also obtained show that with a significance level of 0 the totwork is statistically significant (In significance tests, totwork has a p-value of less than 5% so it is significant for the model). The value of R squared tell us that 10.33%% of the variation in sleep is explained by the modelincrease <- 120*(-0.15075);increase## [1] -18.09#If totwrk increases by 2 hours, sleep is estimated to fall by 18.09.#ASSUMPTIONS
plot(rg1)
plot(rg1,5)# Residual versus leverage plot
plot(rg1,4)# Cooks distance
plot(rg1,3)# Scale location plot, homocedasticity
plot(rg1,2)#normality
plot(rg1,1)#non-linear patterns
#RESIDUAL VS LEVERAGE PLOT
#This plot is used to identify influential observations. If any points in this plot fall outside of Cook’s distance (the dashed lines) then it is an influential observation. #SCALE LOCATION PLOT
#This plot is used to check the assumption of equal variance (also called “homoscedasticity”) among the residuals in our regression model. If the red line is roughly horizontal across the plot, then the assumption of equal variance is likely met, for this graph we could say that the line is almost horizontal with some curve along the edges#NORMALITY
#This plot is used to determine if the residuals of the regression model are normally distributed. If the points in this plot fall roughly along a straight diagonal line, then we can assume the residuals are normally distributed.With exception of some variations on the tails, we can assume the residuals are normally distributes, according to the plot.#NON-LINEAR PATTERNS
#This plot is used to determine if the residuals exhibit non-linear patterns. If the red line across the center of the plot is roughly horizontal then we can assume that the residuals follow a linear pattern.We can say the line is roughly horizontal, therefore, the residuals follow a linear pattern