Baitap 5
Thong
May 12, 2020
Bieu do tuong quan da bien cua dataset = Boston-price
Chon cac bien: medv, crim, lstat, nox, rm, age
setwd("D:/Rml")
q = read.csv('Boston-price.csv')
attach(q)
dat = cbind(medv, crim, lstat, nox, rm, age)
dat## medv crim lstat nox rm age
## [1,] 24.0 0.00632 4.98 0.5380 6.575 65.2
## [2,] 21.6 0.02731 9.14 0.4690 6.421 78.9
## [3,] 34.7 0.02729 4.03 0.4690 7.185 61.1
## [4,] 33.4 0.03237 2.94 0.4580 6.998 45.8
## [5,] 36.2 0.06905 5.33 0.4580 7.147 54.2
## [6,] 28.7 0.02985 5.21 0.4580 6.430 58.7
## [7,] 22.9 0.08829 12.43 0.5240 6.012 66.6
## [8,] 27.1 0.14455 19.15 0.5240 6.172 96.1
## [9,] 16.5 0.21124 29.93 0.5240 5.631 100.0
## [10,] 18.9 0.17004 17.10 0.5240 6.004 85.9
## [11,] 15.0 0.22489 20.45 0.5240 6.377 94.3
## [12,] 18.9 0.11747 13.27 0.5240 6.009 82.9
## [13,] 21.7 0.09378 15.71 0.5240 5.889 39.0
## [14,] 20.4 0.62976 8.26 0.5380 5.949 61.8
## [15,] 18.2 0.63796 10.26 0.5380 6.096 84.5
## [16,] 19.9 0.62739 8.47 0.5380 5.834 56.5
## [17,] 23.1 1.05393 6.58 0.5380 5.935 29.3
## [18,] 17.5 0.78420 14.67 0.5380 5.990 81.7
## [19,] 20.2 0.80271 11.69 0.5380 5.456 36.6
## [20,] 18.2 0.72580 11.28 0.5380 5.727 69.5
## [21,] 13.6 1.25179 21.02 0.5380 5.570 98.1
## [22,] 19.6 0.85204 13.83 0.5380 5.965 89.2
## [23,] 15.2 1.23247 18.72 0.5380 6.142 91.7
## [24,] 14.5 0.98843 19.88 0.5380 5.813 100.0
## [25,] 15.6 0.75026 16.30 0.5380 5.924 94.1
## [26,] 13.9 0.84054 16.51 0.5380 5.599 85.7
## [27,] 16.6 0.67191 14.81 0.5380 5.813 90.3
## [28,] 14.8 0.95577 17.28 0.5380 6.047 88.8
## [29,] 18.4 0.77299 12.80 0.5380 6.495 94.4
## [30,] 21.0 1.00245 11.98 0.5380 6.674 87.3
## [31,] 12.7 1.13081 22.60 0.5380 5.713 94.1
## [32,] 14.5 1.35472 13.04 0.5380 6.072 100.0
## [33,] 13.2 1.38799 27.71 0.5380 5.950 82.0
## [34,] 13.1 1.15172 18.35 0.5380 5.701 95.0
## [35,] 13.5 1.61282 20.34 0.5380 6.096 96.9
## [36,] 18.9 0.06417 9.68 0.4990 5.933 68.2
## [37,] 20.0 0.09744 11.41 0.4990 5.841 61.4
## [38,] 21.0 0.08014 8.77 0.4990 5.850 41.5
## [39,] 24.7 0.17505 10.13 0.4990 5.966 30.2
## [40,] 30.8 0.02763 4.32 0.4280 6.595 21.8
## [41,] 34.9 0.03359 1.98 0.4280 7.024 15.8
## [42,] 26.6 0.12744 4.84 0.4480 6.770 2.9
## [43,] 25.3 0.14150 5.81 0.4480 6.169 6.6
## [44,] 24.7 0.15936 7.44 0.4480 6.211 6.5
## [45,] 21.2 0.12269 9.55 0.4480 6.069 40.0
## [46,] 19.3 0.17142 10.21 0.4480 5.682 33.8
## [47,] 20.0 0.18836 14.15 0.4480 5.786 33.3
## [48,] 16.6 0.22927 18.80 0.4480 6.030 85.5
## [49,] 14.4 0.25387 30.81 0.4480 5.399 95.3
## [50,] 19.4 0.21977 16.20 0.4480 5.602 62.0
## [51,] 19.7 0.08873 13.45 0.4390 5.963 45.7
## [52,] 20.5 0.04337 9.43 0.4390 6.115 63.0
## [53,] 25.0 0.05360 5.28 0.4390 6.511 21.1
## [54,] 23.4 0.04981 8.43 0.4390 5.998 21.4
## [55,] 18.9 0.01360 14.80 0.4100 5.888 47.6
## [56,] 35.4 0.01311 4.81 0.4030 7.249 21.9
## [57,] 24.7 0.02055 5.77 0.4100 6.383 35.7
## [58,] 31.6 0.01432 3.95 0.4110 6.816 40.5
## [59,] 23.3 0.15445 6.86 0.4530 6.145 29.2
## [60,] 19.6 0.10328 9.22 0.4530 5.927 47.2
## [61,] 18.7 0.14932 13.15 0.4530 5.741 66.2
## [62,] 16.0 0.17171 14.44 0.4530 5.966 93.4
## [63,] 22.2 0.11027 6.73 0.4530 6.456 67.8
## [64,] 25.0 0.12650 9.50 0.4530 6.762 43.4
## [65,] 33.0 0.01951 8.05 0.4161 7.104 59.5
## [66,] 23.5 0.03584 4.67 0.3980 6.290 17.8
## [67,] 19.4 0.04379 10.24 0.3980 5.787 31.1
## [68,] 22.0 0.05789 8.10 0.4090 5.878 21.4
## [69,] 17.4 0.13554 13.09 0.4090 5.594 36.8
## [70,] 20.9 0.12816 8.79 0.4090 5.885 33.0
## [71,] 24.2 0.08826 6.72 0.4130 6.417 6.6
## [72,] 21.7 0.15876 9.88 0.4130 5.961 17.5
## [73,] 22.8 0.09164 5.52 0.4130 6.065 7.8
## [74,] 23.4 0.19539 7.54 0.4130 6.245 6.2
## [75,] 24.1 0.07896 6.78 0.4370 6.273 6.0
## [76,] 21.4 0.09512 8.94 0.4370 6.286 45.0
## [77,] 20.0 0.10153 11.97 0.4370 6.279 74.5
## [78,] 20.8 0.08707 10.27 0.4370 6.140 45.8
## [79,] 21.2 0.05646 12.34 0.4370 6.232 53.7
## [80,] 20.3 0.08387 9.10 0.4370 5.874 36.6
## [81,] 28.0 0.04113 5.29 0.4260 6.727 33.5
## [82,] 23.9 0.04462 7.22 0.4260 6.619 70.4
## [83,] 24.8 0.03659 6.72 0.4260 6.302 32.2
## [84,] 22.9 0.03551 7.51 0.4260 6.167 46.7
## [85,] 23.9 0.05059 9.62 0.4490 6.389 48.0
## [86,] 26.6 0.05735 6.53 0.4490 6.630 56.1
## [87,] 22.5 0.05188 12.86 0.4490 6.015 45.1
## [88,] 22.2 0.07151 8.44 0.4490 6.121 56.8
## [89,] 23.6 0.05660 5.50 0.4890 7.007 86.3
## [90,] 28.7 0.05302 5.70 0.4890 7.079 63.1
## [91,] 22.6 0.04684 8.81 0.4890 6.417 66.1
## [92,] 22.0 0.03932 8.20 0.4890 6.405 73.9
## [93,] 22.9 0.04203 8.16 0.4640 6.442 53.6
## [94,] 25.0 0.02875 6.21 0.4640 6.211 28.9
## [95,] 20.6 0.04294 10.59 0.4640 6.249 77.3
## [96,] 28.4 0.12204 6.65 0.4450 6.625 57.8
## [97,] 21.4 0.11504 11.34 0.4450 6.163 69.6
## [98,] 38.7 0.12083 4.21 0.4450 8.069 76.0
## [99,] 43.8 0.08187 3.57 0.4450 7.820 36.9
## [100,] 33.2 0.06860 6.19 0.4450 7.416 62.5
## [101,] 27.5 0.14866 9.42 0.5200 6.727 79.9
## [102,] 26.5 0.11432 7.67 0.5200 6.781 71.3
## [103,] 18.6 0.22876 10.63 0.5200 6.405 85.4
## [104,] 19.3 0.21161 13.44 0.5200 6.137 87.4
## [105,] 20.1 0.13960 12.33 0.5200 6.167 90.0
## [106,] 19.5 0.13262 16.47 0.5200 5.851 96.7
## [107,] 19.5 0.17120 18.66 0.5200 5.836 91.9
## [108,] 20.4 0.13117 14.09 0.5200 6.127 85.2
## [109,] 19.8 0.12802 12.27 0.5200 6.474 97.1
## [110,] 19.4 0.26363 15.55 0.5200 6.229 91.2
## [111,] 21.7 0.10793 13.00 0.5200 6.195 54.4
## [112,] 22.8 0.10084 10.16 0.5470 6.715 81.6
## [113,] 18.8 0.12329 16.21 0.5470 5.913 92.9
## [114,] 18.7 0.22212 17.09 0.5470 6.092 95.4
## [115,] 18.5 0.14231 10.45 0.5470 6.254 84.2
## [116,] 18.3 0.17134 15.76 0.5470 5.928 88.2
## [117,] 21.2 0.13158 12.04 0.5470 6.176 72.5
## [118,] 19.2 0.15098 10.30 0.5470 6.021 82.6
## [119,] 20.4 0.13058 15.37 0.5470 5.872 73.1
## [120,] 19.3 0.14476 13.61 0.5470 5.731 65.2
## [121,] 22.0 0.06899 14.37 0.5810 5.870 69.7
## [122,] 20.3 0.07165 14.27 0.5810 6.004 84.1
## [123,] 20.5 0.09299 17.93 0.5810 5.961 92.9
## [124,] 17.3 0.15038 25.41 0.5810 5.856 97.0
## [125,] 18.8 0.09849 17.58 0.5810 5.879 95.8
## [126,] 21.4 0.16902 14.81 0.5810 5.986 88.4
## [127,] 15.7 0.38735 27.26 0.5810 5.613 95.6
## [128,] 16.2 0.25915 17.19 0.6240 5.693 96.0
## [129,] 18.0 0.32543 15.39 0.6240 6.431 98.8
## [130,] 14.3 0.88125 18.34 0.6240 5.637 94.7
## [131,] 19.2 0.34006 12.60 0.6240 6.458 98.9
## [132,] 19.6 1.19294 12.26 0.6240 6.326 97.7
## [133,] 23.0 0.59005 11.12 0.6240 6.372 97.9
## [134,] 18.4 0.32982 15.03 0.6240 5.822 95.4
## [135,] 15.6 0.97617 17.31 0.6240 5.757 98.4
## [136,] 18.1 0.55778 16.96 0.6240 6.335 98.2
## [137,] 17.4 0.32264 16.90 0.6240 5.942 93.5
## [138,] 17.1 0.35233 14.59 0.6240 6.454 98.4
## [139,] 13.3 0.24980 21.32 0.6240 5.857 98.2
## [140,] 17.8 0.54452 18.46 0.6240 6.151 97.9
## [141,] 14.0 0.29090 24.16 0.6240 6.174 93.6
## [142,] 14.4 1.62864 34.41 0.6240 5.019 100.0
## [143,] 13.4 3.32105 26.82 0.8710 5.403 100.0
## [144,] 15.6 4.09740 26.42 0.8710 5.468 100.0
## [145,] 11.8 2.77974 29.29 0.8710 4.903 97.8
## [146,] 13.8 2.37934 27.80 0.8710 6.130 100.0
## [147,] 15.6 2.15505 16.65 0.8710 5.628 100.0
## [148,] 14.6 2.36862 29.53 0.8710 4.926 95.7
## [149,] 17.8 2.33099 28.32 0.8710 5.186 93.8
## [150,] 15.4 2.73397 21.45 0.8710 5.597 94.9
## [151,] 21.5 1.65660 14.10 0.8710 6.122 97.3
## [152,] 19.6 1.49632 13.28 0.8710 5.404 100.0
## [153,] 15.3 1.12658 12.12 0.8710 5.012 88.0
## [154,] 19.4 2.14918 15.79 0.8710 5.709 98.5
## [155,] 17.0 1.41385 15.12 0.8710 6.129 96.0
## [156,] 15.6 3.53501 15.02 0.8710 6.152 82.6
## [157,] 13.1 2.44668 16.14 0.8710 5.272 94.0
## [158,] 41.3 1.22358 4.59 0.6050 6.943 97.4
## [159,] 24.3 1.34284 6.43 0.6050 6.066 100.0
## [160,] 23.3 1.42502 7.39 0.8710 6.510 100.0
## [161,] 27.0 1.27346 5.50 0.6050 6.250 92.6
## [162,] 50.0 1.46336 1.73 0.6050 7.489 90.8
## [163,] 50.0 1.83377 1.92 0.6050 7.802 98.2
## [164,] 50.0 1.51902 3.32 0.6050 8.375 93.9
## [165,] 22.7 2.24236 11.64 0.6050 5.854 91.8
## [166,] 25.0 2.92400 9.81 0.6050 6.101 93.0
## [167,] 50.0 2.01019 3.70 0.6050 7.929 96.2
## [168,] 23.8 1.80028 12.14 0.6050 5.877 79.2
## [169,] 23.8 2.30040 11.10 0.6050 6.319 96.1
## [170,] 22.3 2.44953 11.32 0.6050 6.402 95.2
## [171,] 17.4 1.20742 14.43 0.6050 5.875 94.6
## [172,] 19.1 2.31390 12.03 0.6050 5.880 97.3
## [173,] 23.1 0.13914 14.69 0.5100 5.572 88.5
## [174,] 23.6 0.09178 9.04 0.5100 6.416 84.1
## [175,] 22.6 0.08447 9.64 0.5100 5.859 68.7
## [176,] 29.4 0.06664 5.33 0.5100 6.546 33.1
## [177,] 23.2 0.07022 10.11 0.5100 6.020 47.2
## [178,] 24.6 0.05425 6.29 0.5100 6.315 73.4
## [179,] 29.9 0.06642 6.92 0.5100 6.860 74.4
## [180,] 37.2 0.05780 5.04 0.4880 6.980 58.4
## [181,] 39.8 0.06588 7.56 0.4880 7.765 83.3
## [182,] 36.2 0.06888 9.45 0.4880 6.144 62.2
## [183,] 37.9 0.09103 4.82 0.4880 7.155 92.2
## [184,] 32.5 0.10008 5.68 0.4880 6.563 95.6
## [185,] 26.4 0.08308 13.98 0.4880 5.604 89.8
## [186,] 29.6 0.06047 13.15 0.4880 6.153 68.8
## [187,] 50.0 0.05602 4.45 0.4880 7.831 53.6
## [188,] 32.0 0.07875 6.68 0.4370 6.782 41.1
## [189,] 29.8 0.12579 4.56 0.4370 6.556 29.1
## [190,] 34.9 0.08370 5.39 0.4370 7.185 38.9
## [191,] 37.0 0.09068 5.10 0.4370 6.951 21.5
## [192,] 30.5 0.06911 4.69 0.4370 6.739 30.8
## [193,] 36.4 0.08664 2.87 0.4370 7.178 26.3
## [194,] 31.1 0.02187 5.03 0.4010 6.800 9.9
## [195,] 29.1 0.01439 4.38 0.4010 6.604 18.8
## [196,] 50.0 0.01381 2.97 0.4220 7.875 32.0
## [197,] 33.3 0.04011 4.08 0.4040 7.287 34.1
## [198,] 30.3 0.04666 8.61 0.4040 7.107 36.6
## [199,] 34.6 0.03768 6.62 0.4040 7.274 38.3
## [200,] 34.9 0.03150 4.56 0.4030 6.975 15.3
## [201,] 32.9 0.01778 4.45 0.4030 7.135 13.9
## [202,] 24.1 0.03445 7.43 0.4150 6.162 38.4
## [203,] 42.3 0.02177 3.11 0.4150 7.610 15.7
## [204,] 48.5 0.03510 3.81 0.4161 7.853 33.2
## [205,] 50.0 0.02009 2.88 0.4161 8.034 31.9
## [206,] 22.6 0.13642 10.87 0.4890 5.891 22.3
## [207,] 24.4 0.22969 10.97 0.4890 6.326 52.5
## [208,] 22.5 0.25199 18.06 0.4890 5.783 72.7
## [209,] 24.4 0.13587 14.66 0.4890 6.064 59.1
## [210,] 20.0 0.43571 23.09 0.4890 5.344 100.0
## [211,] 21.7 0.17446 17.27 0.4890 5.960 92.1
## [212,] 19.3 0.37578 23.98 0.4890 5.404 88.6
## [213,] 22.4 0.21719 16.03 0.4890 5.807 53.8
## [214,] 28.1 0.14052 9.38 0.4890 6.375 32.3
## [215,] 23.7 0.28955 29.55 0.4890 5.412 9.8
## [216,] 25.0 0.19802 9.47 0.4890 6.182 42.4
## [217,] 23.3 0.04560 13.51 0.5500 5.888 56.0
## [218,] 28.7 0.07013 9.69 0.5500 6.642 85.1
## [219,] 21.5 0.11069 17.92 0.5500 5.951 93.8
## [220,] 23.0 0.11425 10.50 0.5500 6.373 92.4
## [221,] 26.7 0.35809 9.71 0.5070 6.951 88.5
## [222,] 21.7 0.40771 21.46 0.5070 6.164 91.3
## [223,] 27.5 0.62356 9.93 0.5070 6.879 77.7
## [224,] 30.1 0.61470 7.60 0.5070 6.618 80.8
## [225,] 44.8 0.31533 4.14 0.5040 8.266 78.3
## [226,] 50.0 0.52693 4.63 0.5040 8.725 83.0
## [227,] 37.6 0.38214 3.13 0.5040 8.040 86.5
## [228,] 31.6 0.41238 6.36 0.5040 7.163 79.9
## [229,] 46.7 0.29819 3.92 0.5040 7.686 17.0
## [230,] 31.5 0.44178 3.76 0.5040 6.552 21.4
## [231,] 24.3 0.53700 11.65 0.5040 5.981 68.1
## [232,] 31.7 0.46296 5.25 0.5040 7.412 76.9
## [233,] 41.7 0.57529 2.47 0.5070 8.337 73.3
## [234,] 48.3 0.33147 3.95 0.5070 8.247 70.4
## [235,] 29.0 0.44791 8.05 0.5070 6.726 66.5
## [236,] 24.0 0.33045 10.88 0.5070 6.086 61.5
## [237,] 25.1 0.52058 9.54 0.5070 6.631 76.5
## [238,] 31.5 0.51183 4.73 0.5070 7.358 71.6
## [239,] 23.7 0.08244 6.36 0.4280 6.481 18.5
## [240,] 23.3 0.09252 7.37 0.4280 6.606 42.2
## [241,] 22.0 0.11329 11.38 0.4280 6.897 54.3
## [242,] 20.1 0.10612 12.40 0.4280 6.095 65.1
## [243,] 22.2 0.10290 11.22 0.4280 6.358 52.9
## [244,] 23.7 0.12757 5.19 0.4280 6.393 7.8
## [245,] 17.6 0.20608 12.50 0.4310 5.593 76.5
## [246,] 18.5 0.19133 18.46 0.4310 5.605 70.2
## [247,] 24.3 0.33983 9.16 0.4310 6.108 34.9
## [248,] 20.5 0.19657 10.15 0.4310 6.226 79.2
## [249,] 24.5 0.16439 9.52 0.4310 6.433 49.1
## [250,] 26.2 0.19073 6.56 0.4310 6.718 17.5
## [251,] 24.4 0.14030 5.90 0.4310 6.487 13.0
## [252,] 24.8 0.21409 3.59 0.4310 6.438 8.9
## [253,] 29.6 0.08221 3.53 0.4310 6.957 6.8
## [254,] 42.8 0.36894 3.54 0.4310 8.259 8.4
## [255,] 21.9 0.04819 6.57 0.3920 6.108 32.0
## [256,] 20.9 0.03548 9.25 0.3920 5.876 19.1
## [257,] 44.0 0.01538 3.11 0.3940 7.454 34.2
## [258,] 50.0 0.61154 5.12 0.6470 8.704 86.9
## [259,] 36.0 0.66351 7.79 0.6470 7.333 100.0
## [260,] 30.1 0.65665 6.90 0.6470 6.842 100.0
## [261,] 33.8 0.54011 9.59 0.6470 7.203 81.8
## [262,] 43.1 0.53412 7.26 0.6470 7.520 89.4
## [263,] 48.8 0.52014 5.91 0.6470 8.398 91.5
## [264,] 31.0 0.82526 11.25 0.6470 7.327 94.5
## [265,] 36.5 0.55007 8.10 0.6470 7.206 91.6
## [266,] 22.8 0.76162 10.45 0.6470 5.560 62.8
## [267,] 30.7 0.78570 14.79 0.6470 7.014 84.6
## [268,] 50.0 0.57834 7.44 0.5750 8.297 67.0
## [269,] 43.5 0.54050 3.16 0.5750 7.470 52.6
## [270,] 20.7 0.09065 13.65 0.4640 5.920 61.5
## [271,] 21.1 0.29916 13.00 0.4640 5.856 42.1
## [272,] 25.2 0.16211 6.59 0.4640 6.240 16.3
## [273,] 24.4 0.11460 7.73 0.4640 6.538 58.7
## [274,] 35.2 0.22188 6.58 0.4640 7.691 51.8
## [275,] 32.4 0.05644 3.53 0.4470 6.758 32.9
## [276,] 32.0 0.09604 2.98 0.4470 6.854 42.8
## [277,] 33.2 0.10469 6.05 0.4470 7.267 49.0
## [278,] 33.1 0.06127 4.16 0.4470 6.826 27.6
## [279,] 29.1 0.07978 7.19 0.4470 6.482 32.1
## [280,] 35.1 0.21038 4.85 0.4429 6.812 32.2
## [281,] 45.4 0.03578 3.76 0.4429 7.820 64.5
## [282,] 35.4 0.03705 4.59 0.4429 6.968 37.2
## [283,] 46.0 0.06129 3.01 0.4429 7.645 49.7
## [284,] 50.0 0.01501 3.16 0.4010 7.923 24.8
## [285,] 32.2 0.00906 7.85 0.4000 7.088 20.8
## [286,] 22.0 0.01096 8.23 0.3890 6.453 31.9
## [287,] 20.1 0.01965 12.93 0.3850 6.230 31.5
## [288,] 23.2 0.03871 7.14 0.4050 6.209 31.3
## [289,] 22.3 0.04590 7.60 0.4050 6.315 45.6
## [290,] 24.8 0.04297 9.51 0.4050 6.565 22.9
## [291,] 28.5 0.03502 3.33 0.4110 6.861 27.9
## [292,] 37.3 0.07886 3.56 0.4110 7.148 27.7
## [293,] 27.9 0.03615 4.70 0.4110 6.630 23.4
## [294,] 23.9 0.08265 8.58 0.4370 6.127 18.4
## [295,] 21.7 0.08199 10.40 0.4370 6.009 42.3
## [296,] 28.6 0.12932 6.27 0.4370 6.678 31.1
## [297,] 27.1 0.05372 7.39 0.4370 6.549 51.0
## [298,] 20.3 0.14103 15.84 0.4370 5.790 58.0
## [299,] 22.5 0.06466 4.97 0.4000 6.345 20.1
## [300,] 29.0 0.05561 4.74 0.4000 7.041 10.0
## [301,] 24.8 0.04417 6.07 0.4000 6.871 47.4
## [302,] 22.0 0.03537 9.50 0.4330 6.590 40.4
## [303,] 26.4 0.09266 8.67 0.4330 6.495 18.4
## [304,] 33.1 0.10000 4.86 0.4330 6.982 17.7
## [305,] 36.1 0.05515 6.93 0.4720 7.236 41.1
## [306,] 28.4 0.05479 8.93 0.4720 6.616 58.1
## [307,] 33.4 0.07503 6.47 0.4720 7.420 71.9
## [308,] 28.2 0.04932 7.53 0.4720 6.849 70.3
## [309,] 22.8 0.49298 4.54 0.5440 6.635 82.5
## [310,] 20.3 0.34940 9.97 0.5440 5.972 76.7
## [311,] 16.1 2.63548 12.64 0.5440 4.973 37.8
## [312,] 22.1 0.79041 5.98 0.5440 6.122 52.8
## [313,] 19.4 0.26169 11.72 0.5440 6.023 90.4
## [314,] 21.6 0.26938 7.90 0.5440 6.266 82.8
## [315,] 23.8 0.36920 9.28 0.5440 6.567 87.3
## [316,] 16.2 0.25356 11.50 0.5440 5.705 77.7
## [317,] 17.8 0.31827 18.33 0.5440 5.914 83.2
## [318,] 19.8 0.24522 15.94 0.5440 5.782 71.7
## [319,] 23.1 0.40202 10.36 0.5440 6.382 67.2
## [320,] 21.0 0.47547 12.73 0.5440 6.113 58.8
## [321,] 23.8 0.16760 7.20 0.4930 6.426 52.3
## [322,] 23.1 0.18159 6.87 0.4930 6.376 54.3
## [323,] 20.4 0.35114 7.70 0.4930 6.041 49.9
## [324,] 18.5 0.28392 11.74 0.4930 5.708 74.3
## [325,] 25.0 0.34109 6.12 0.4930 6.415 40.1
## [326,] 24.6 0.19186 5.08 0.4930 6.431 14.7
## [327,] 23.0 0.30347 6.15 0.4930 6.312 28.9
## [328,] 22.2 0.24103 12.79 0.4930 6.083 43.7
## [329,] 19.3 0.06617 9.97 0.4600 5.868 25.8
## [330,] 22.6 0.06724 7.34 0.4600 6.333 17.2
## [331,] 19.8 0.04544 9.09 0.4600 6.144 32.2
## [332,] 17.1 0.05023 12.43 0.4379 5.706 28.4
## [333,] 19.4 0.03466 7.83 0.4379 6.031 23.3
## [334,] 22.2 0.05083 5.68 0.5150 6.316 38.1
## [335,] 20.7 0.03738 6.75 0.5150 6.310 38.5
## [336,] 21.1 0.03961 8.01 0.5150 6.037 34.5
## [337,] 19.5 0.03427 9.80 0.5150 5.869 46.3
## [338,] 18.5 0.03041 10.56 0.5150 5.895 59.6
## [339,] 20.6 0.03306 8.51 0.5150 6.059 37.3
## [340,] 19.0 0.05497 9.74 0.5150 5.985 45.4
## [341,] 18.7 0.06151 9.29 0.5150 5.968 58.5
## [342,] 32.7 0.01301 5.49 0.4420 7.241 49.3
## [343,] 16.5 0.02498 8.65 0.5180 6.540 59.7
## [344,] 23.9 0.02543 7.18 0.4840 6.696 56.4
## [345,] 31.2 0.03049 4.61 0.4840 6.874 28.1
## [346,] 17.5 0.03113 10.53 0.4420 6.014 48.5
## [347,] 17.2 0.06162 12.67 0.4420 5.898 52.3
## [348,] 23.1 0.01870 6.36 0.4290 6.516 27.7
## [349,] 24.5 0.01501 5.99 0.4350 6.635 29.7
## [350,] 26.6 0.02899 5.89 0.4290 6.939 34.5
## [351,] 22.9 0.06211 5.98 0.4290 6.490 44.4
## [352,] 24.1 0.07950 5.49 0.4110 6.579 35.9
## [353,] 18.6 0.07244 7.79 0.4110 5.884 18.5
## [354,] 30.1 0.01709 4.50 0.4100 6.728 36.1
## [355,] 18.2 0.04301 8.05 0.4130 5.663 21.9
## [356,] 20.6 0.10659 5.57 0.4130 5.936 19.5
## [357,] 17.8 8.98296 17.60 0.7700 6.212 97.4
## [358,] 21.7 3.84970 13.27 0.7700 6.395 91.0
## [359,] 22.7 5.20177 11.48 0.7700 6.127 83.4
## [360,] 22.6 4.26131 12.67 0.7700 6.112 81.3
## [361,] 25.0 4.54192 7.79 0.7700 6.398 88.0
## [362,] 19.9 3.83684 14.19 0.7700 6.251 91.1
## [363,] 20.8 3.67822 10.19 0.7700 5.362 96.2
## [364,] 16.8 4.22239 14.64 0.7700 5.803 89.0
## [365,] 21.9 3.47428 5.29 0.7180 8.780 82.9
## [366,] 27.5 4.55587 7.12 0.7180 3.561 87.9
## [367,] 21.9 3.69695 14.00 0.7180 4.963 91.4
## [368,] 23.1 13.52220 13.33 0.6310 3.863 100.0
## [369,] 50.0 4.89822 3.26 0.6310 4.970 100.0
## [370,] 50.0 5.66998 3.73 0.6310 6.683 96.8
## [371,] 50.0 6.53876 2.96 0.6310 7.016 97.5
## [372,] 50.0 9.23230 9.53 0.6310 6.216 100.0
## [373,] 50.0 8.26725 8.88 0.6680 5.875 89.6
## [374,] 13.8 11.10810 34.77 0.6680 4.906 100.0
## [375,] 13.8 18.49820 37.97 0.6680 4.138 100.0
## [376,] 15.0 19.60910 13.44 0.6710 7.313 97.9
## [377,] 13.9 15.28800 23.24 0.6710 6.649 93.3
## [378,] 13.3 9.82349 21.24 0.6710 6.794 98.8
## [379,] 13.1 23.64820 23.69 0.6710 6.380 96.2
## [380,] 10.2 17.86670 21.78 0.6710 6.223 100.0
## [381,] 10.4 88.97620 17.21 0.6710 6.968 91.9
## [382,] 10.9 15.87440 21.08 0.6710 6.545 99.1
## [383,] 11.3 9.18702 23.60 0.7000 5.536 100.0
## [384,] 12.3 7.99248 24.56 0.7000 5.520 100.0
## [385,] 8.8 20.08490 30.63 0.7000 4.368 91.2
## [386,] 7.2 16.81180 30.81 0.7000 5.277 98.1
## [387,] 10.5 24.39380 28.28 0.7000 4.652 100.0
## [388,] 7.4 22.59710 31.99 0.7000 5.000 89.5
## [389,] 10.2 14.33370 30.62 0.7000 4.880 100.0
## [390,] 11.5 8.15174 20.85 0.7000 5.390 98.9
## [391,] 15.1 6.96215 17.11 0.7000 5.713 97.0
## [392,] 23.2 5.29305 18.76 0.7000 6.051 82.5
## [393,] 9.7 11.57790 25.68 0.7000 5.036 97.0
## [394,] 13.8 8.64476 15.17 0.6930 6.193 92.6
## [395,] 12.7 13.35980 16.35 0.6930 5.887 94.7
## [396,] 13.1 8.71675 17.12 0.6930 6.471 98.8
## [397,] 12.5 5.87205 19.37 0.6930 6.405 96.0
## [398,] 8.5 7.67202 19.92 0.6930 5.747 98.9
## [399,] 5.0 38.35180 30.59 0.6930 5.453 100.0
## [400,] 6.3 9.91655 29.97 0.6930 5.852 77.8
## [401,] 5.6 25.04610 26.77 0.6930 5.987 100.0
## [402,] 7.2 14.23620 20.32 0.6930 6.343 100.0
## [403,] 12.1 9.59571 20.31 0.6930 6.404 100.0
## [404,] 8.3 24.80170 19.77 0.6930 5.349 96.0
## [405,] 8.5 41.52920 27.38 0.6930 5.531 85.4
## [406,] 5.0 67.92080 22.98 0.6930 5.683 100.0
## [407,] 11.9 20.71620 23.34 0.6590 4.138 100.0
## [408,] 27.9 11.95110 12.13 0.6590 5.608 100.0
## [409,] 17.2 7.40389 26.40 0.5970 5.617 97.9
## [410,] 27.5 14.43830 19.78 0.5970 6.852 100.0
## [411,] 15.0 51.13580 10.11 0.5970 5.757 100.0
## [412,] 17.2 14.05070 21.22 0.5970 6.657 100.0
## [413,] 17.9 18.81100 34.37 0.5970 4.628 100.0
## [414,] 16.3 28.65580 20.08 0.5970 5.155 100.0
## [415,] 7.0 45.74610 36.98 0.6930 4.519 100.0
## [416,] 7.2 18.08460 29.05 0.6790 6.434 100.0
## [417,] 7.5 10.83420 25.79 0.6790 6.782 90.8
## [418,] 10.4 25.94060 26.64 0.6790 5.304 89.1
## [419,] 8.8 73.53410 20.62 0.6790 5.957 100.0
## [420,] 8.4 11.81230 22.74 0.7180 6.824 76.5
## [421,] 16.7 11.08740 15.02 0.7180 6.411 100.0
## [422,] 14.2 7.02259 15.70 0.7180 6.006 95.3
## [423,] 20.8 12.04820 14.10 0.6140 5.648 87.6
## [424,] 13.4 7.05042 23.29 0.6140 6.103 85.1
## [425,] 11.7 8.79212 17.16 0.5840 5.565 70.6
## [426,] 8.3 15.86030 24.39 0.6790 5.896 95.4
## [427,] 10.2 12.24720 15.69 0.5840 5.837 59.7
## [428,] 10.9 37.66190 14.52 0.6790 6.202 78.7
## [429,] 11.0 7.36711 21.52 0.6790 6.193 78.1
## [430,] 9.5 9.33889 24.08 0.6790 6.380 95.6
## [431,] 14.5 8.49213 17.64 0.5840 6.348 86.1
## [432,] 14.1 10.06230 19.69 0.5840 6.833 94.3
## [433,] 16.1 6.44405 12.03 0.5840 6.425 74.8
## [434,] 14.3 5.58107 16.22 0.7130 6.436 87.9
## [435,] 11.7 13.91340 15.17 0.7130 6.208 95.0
## [436,] 13.4 11.16040 23.27 0.7400 6.629 94.6
## [437,] 9.6 14.42080 18.05 0.7400 6.461 93.3
## [438,] 8.7 15.17720 26.45 0.7400 6.152 100.0
## [439,] 8.4 13.67810 34.02 0.7400 5.935 87.9
## [440,] 12.8 9.39063 22.88 0.7400 5.627 93.9
## [441,] 10.5 22.05110 22.11 0.7400 5.818 92.4
## [442,] 17.1 9.72418 19.52 0.7400 6.406 97.2
## [443,] 18.4 5.66637 16.59 0.7400 6.219 100.0
## [444,] 15.4 9.96654 18.85 0.7400 6.485 100.0
## [445,] 10.8 12.80230 23.79 0.7400 5.854 96.6
## [446,] 11.8 10.67180 23.98 0.7400 6.459 94.8
## [447,] 14.9 6.28807 17.79 0.7400 6.341 96.4
## [448,] 12.6 9.92485 16.44 0.7400 6.251 96.6
## [449,] 14.1 9.32909 18.13 0.7130 6.185 98.7
## [450,] 13.0 7.52601 19.31 0.7130 6.417 98.3
## [451,] 13.4 6.71772 17.44 0.7130 6.749 92.6
## [452,] 15.2 5.44114 17.73 0.7130 6.655 98.2
## [453,] 16.1 5.09017 17.27 0.7130 6.297 91.8
## [454,] 17.8 8.24809 16.74 0.7130 7.393 99.3
## [455,] 14.9 9.51363 18.71 0.7130 6.728 94.1
## [456,] 14.1 4.75237 18.13 0.7130 6.525 86.5
## [457,] 12.7 4.66883 19.01 0.7130 5.976 87.9
## [458,] 13.5 8.20058 16.94 0.7130 5.936 80.3
## [459,] 14.9 7.75223 16.23 0.7130 6.301 83.7
## [460,] 20.0 6.80117 14.70 0.7130 6.081 84.4
## [461,] 16.4 4.81213 16.42 0.7130 6.701 90.0
## [462,] 17.7 3.69311 14.65 0.7130 6.376 88.4
## [463,] 19.5 6.65492 13.99 0.7130 6.317 83.0
## [464,] 20.2 5.82115 10.29 0.7130 6.513 89.9
## [465,] 21.4 7.83932 13.22 0.6550 6.209 65.4
## [466,] 19.9 3.16360 14.13 0.6550 5.759 48.2
## [467,] 19.0 3.77498 17.15 0.6550 5.952 84.7
## [468,] 19.1 4.42228 21.32 0.5840 6.003 94.5
## [469,] 19.1 15.57570 18.13 0.5800 5.926 71.0
## [470,] 20.1 13.07510 14.76 0.5800 5.713 56.7
## [471,] 19.9 4.34879 16.29 0.5800 6.167 84.0
## [472,] 19.6 4.03841 12.87 0.5320 6.229 90.7
## [473,] 23.2 3.56868 14.36 0.5800 6.437 75.0
## [474,] 29.8 4.64689 11.66 0.6140 6.980 67.6
## [475,] 13.8 8.05579 18.14 0.5840 5.427 95.4
## [476,] 13.3 6.39312 24.10 0.5840 6.162 97.4
## [477,] 16.7 4.87141 18.68 0.6140 6.484 93.6
## [478,] 12.0 15.02340 24.91 0.6140 5.304 97.3
## [479,] 14.6 10.23300 18.03 0.6140 6.185 96.7
## [480,] 21.4 14.33370 13.11 0.6140 6.229 88.0
## [481,] 23.0 5.82401 10.74 0.5320 6.242 64.7
## [482,] 23.7 5.70818 7.74 0.5320 6.750 74.9
## [483,] 25.0 5.73116 7.01 0.5320 7.061 77.0
## [484,] 21.8 2.81838 10.42 0.5320 5.762 40.3
## [485,] 20.6 2.37857 13.34 0.5830 5.871 41.9
## [486,] 21.2 3.67367 10.58 0.5830 6.312 51.9
## [487,] 19.1 5.69175 14.98 0.5830 6.114 79.8
## [488,] 20.6 4.83567 11.45 0.5830 5.905 53.2
## [489,] 15.2 0.15086 18.06 0.6090 5.454 92.7
## [490,] 7.0 0.18337 23.97 0.6090 5.414 98.3
## [491,] 8.1 0.20746 29.68 0.6090 5.093 98.0
## [492,] 13.6 0.10574 18.07 0.6090 5.983 98.8
## [493,] 20.1 0.11132 13.35 0.6090 5.983 83.5
## [494,] 21.8 0.17331 12.01 0.5850 5.707 54.0
## [495,] 24.5 0.27957 13.59 0.5850 5.926 42.6
## [496,] 23.1 0.17899 17.60 0.5850 5.670 28.8
## [497,] 19.7 0.28960 21.14 0.5850 5.390 72.9
## [498,] 18.3 0.26838 14.10 0.5850 5.794 70.6
## [499,] 21.2 0.23912 12.92 0.5850 6.019 65.3
## [500,] 17.5 0.17783 15.10 0.5850 5.569 73.5
## [501,] 16.8 0.22438 14.33 0.5850 6.027 79.7
## [502,] 22.4 0.06263 9.67 0.5730 6.593 69.1
## [503,] 20.6 0.04527 9.08 0.5730 6.120 76.7
## [504,] 23.9 0.06076 5.64 0.5730 6.976 91.0
## [505,] 22.0 0.10959 6.48 0.5730 6.794 89.3
## [506,] 11.9 0.04741 7.88 0.5730 6.030 80.8Bieu do tuong quan da bien cua dat
library('psych')
pairs.panels(dat)