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@zhonglism
Created April 22, 2017 02:39
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Some students data
gender tv computer sleep height momheight dadheight exercise gpa
Female 13.0 10.0 3.50 66.0 66.0 71.0 10.0 4.000
Male 20.0 7.0 9.00 72.0 64.0 65.0 2.0 2.300
Male 15.0 15.0 6.00 68.0 62.0 74.0 3.0 2.600
Male 8.0 20.0 6.00 68.0 59.0 70.0 6.0 2.800
Female 2.5 10.0 5.00 64.0 65.0 70.0 6.5 2.620
Male 2.0 14.0 9.00 68.5 60.0 68.0 2.0 2.200
Female 4.0 28.0 8.50 69.0 66.0 76.0 3.0 3.780
Female 8.0 10.0 7.00 66.0 63.0 70.0 4.5 3.200
Male 1.0 15.0 8.00 70.0 68.0 71.0 3.0 3.310
Male 8.0 25.0 4.50 67.0 63.0 66.0 6.0 3.390
Male 3.5 9.0 8.00 68.0 62.0 64.0 8.0 3.000
Female 11.0 20.0 5.00 68.0 64.0 69.0 0.0 2.500
Male 10.0 14.0 8.00 68.0 61.0 72.0 10.0 2.800
Male 1.0 84.0 5.00 61.0 62.0 62.0 3.0 2.340
Female 10.0 11.0 9.00 65.0 62.0 66.0 5.0 2.000
Female 10.0 1.0 9.00 64.0 70.0 73.0 4.0 2.400
Female 1.0 5.0 6.50 65.0 70.0 75.0 3.0 1.050
Male 2.0 6.0 5.00 71.0 62.0 69.0 20.0 3.250
Male 40.0 4.0 4.00 68.0 54.0 68.0 4.5 3.500
Male 10.0 10.0 8.50 77.0 64.0 74.0 10.0 2.200
Female 30.0 30.0 9.50 68.0 68.0 69.0 1.0 2.500
Male 1.5 8.0 8.50 67.0 64.0 66.0 5.0 3.500
Male 10.0 12.0 9.00 75.0 68.0 73.0 7.0 3.000
Male 15.0 5.0 6.00 72.0 67.0 71.0 6.0 3.600
Male 4.0 5.0 6.50 68.0 66.0 68.0 9.0 3.160
Male 6.0 6.0 5.00 72.0 62.0 70.0 10.0 2.400
Female 100.0 2.0 7.00 66.0 60.0 77.0 3.0 2.650
Female 15.0 40.0 5.00 60.0 59.0 62.0 10.0 2.600
Female 1.0 14.0 6.00 60.0 62.0 63.0 2.0 0.548
Male 3.5 22.5 7.00 66.0 60.0 64.0 3.0 3.400
Male 10.0 20.0 8.00 75.0 64.0 67.0 5.0 4.000
Male 1.0 10.0 6.50 73.0 60.0 67.0 8.0 3.000
Female 1.0 3.0 7.00 64.0 60.0 72.0 3.0 3.500
Female 6.0 3.0 7.00 70.0 62.0 74.0 10.0 3.280
Female 1.5 5.5 5.50 64.0 61.0 70.0 1.5 3.200
Female 4.0 1.0 7.50 63.0 61.0 70.0 4.0 2.810
Female 10.0 5.0 9.00 61.0 60.0 67.0 3.0 2.870
Female 18.0 14.0 7.00 69.0 65.0 68.0 5.0 3.190
Male 20.0 15.0 6.50 73.0 67.0 73.0 4.0 1.980
Female 4.0 6.0 6.00 63.0 64.0 65.0 4.0 1.900
Male 20.0 25.0 9.00 70.0 60.0 64.0 5.0 2.510
Male 5.0 20.0 4.00 70.0 64.0 68.0 2.0 3.200
Male 0.0 30.0 3.50 69.0 63.0 65.0 6.0 3.040
Male 11.0 17.0 4.50 76.0 66.0 72.0 4.0 2.500
Female 0.0 30.0 8.50 66.0 66.0 66.0 2.0 2.000
Female 1.0 8.5 7.00 65.0 64.0 70.0 4.0 2.600
Female 2.0 10.0 11.00 64.0 62.0 68.0 2.0 3.060
Female 8.0 7.0 8.00 66.0 64.0 73.0 6.0 2.800
Female 1.0 5.0 4.00 65.0 61.0 67.0 3.0 3.000
Female 3.0 8.0 7.00 63.0 60.0 67.0 2.0 3.300
Female 6.0 3.0 4.50 63.0 64.0 74.0 5.5 3.200
Female 10.0 7.0 4.00 65.0 62.0 75.0 2.0 3.500
Female 15.0 25.0 7.00 66.0 64.0 70.0 5.0 3.000
Female 15.0 6.0 9.50 67.0 64.0 70.0 2.0 2.500
Male 12.0 12.0 5.00 69.0 60.0 67.0 6.0 2.400
Female 4.0 17.5 9.00 62.0 60.0 60.0 2.0 2.140
Male 15.0 30.0 8.00 68.0 65.0 66.0 10.0 3.000
Female 21.0 3.0 8.00 64.0 63.0 74.0 10.0 3.730
Female 4.0 10.0 8.50 63.0 62.0 68.0 2.0 3.000
Female 4.0 21.0 6.50 64.0 62.0 69.0 3.0 2.230
Female 8.0 20.0 5.00 63.0 58.0 74.0 2.0 2.300
Male 2.0 7.0 7.50 69.0 65.0 68.0 6.0 2.580
Male 4.0 10.0 8.00 73.0 67.0 72.0 6.0 3.500
Male 10.0 5.0 2.00 66.0 60.0 65.0 1.0 2.660
Female 2.0 10.0 5.25 62.5 65.0 71.5 8.0 3.000
Female 9.0 12.5 7.50 65.0 64.0 72.0 4.5 3.250
Male 14.0 28.0 9.00 67.0 60.0 67.0 1.5 3.160
Male 2.0 7.5 7.50 68.0 61.0 65.0 21.5 3.000
Female 3.5 21.0 6.50 69.5 66.0 72.0 3.5 3.300
Male 0.0 10.0 12.00 71.0 64.0 72.0 2.0 1.850
Female 10.0 20.0 6.00 63.5 60.0 67.0 1.0 2.750
Female 5.5 20.0 10.00 69.0 64.0 74.0 4.0 3.120
Male 14.0 14.0 5.00 70.5 62.0 74.8 1.5 3.240
Male 0.0 1.0 6.50 70.0 63.0 70.0 0.0 2.970
Male 21.0 21.0 6.50 66.0 64.0 64.0 1.0 3.000
Male 14.0 20.0 7.00 65.0 66.0 55.0 2.0 3.000
Female 11.0 7.0 7.00 67.0 63.0 72.0 5.0 3.010
Female 8.0 10.0 8.00 67.0 66.0 70.0 2.0 3.100
Male 2.0 30.0 7.00 70.0 64.0 70.0 4.0 3.400
Female 1.5 20.0 8.00 67.0 69.0 66.0 0.0 4.000
Male 14.0 10.0 7.00 65.0 64.0 65.0 3.0 2.800
Male 2.0 10.0 8.00 70.0 67.0 71.0 7.0 3.370
Male 20.0 0.0 8.00 72.0 66.0 74.0 3.0 3.500
Male 1.0 20.0 8.00 70.0 57.0 68.0 0.0 2.400
Male 14.0 2.0 9.00 70.0 69.3 69.0 3.0 2.000
Female 10.0 5.0 8.00 67.0 65.0 68.0 2.5 3.500
Male 15.0 10.0 6.00 71.0 66.0 69.0 1.0 2.700
Female 2.0 4.0 6.50 67.0 63.0 71.0 30.0 3.000
Female 10.0 50.0 7.00 63.0 60.0 69.0 7.0 2.500
Female 6.0 5.0 8.50 63.0 61.0 67.0 1.0 2.170
Female 20.0 8.0 7.00 60.0 60.0 66.0 0.0 3.100
Male 20.0 30.0 6.00 64.0 60.0 65.0 10.0 2.500
Male 35.0 40.0 10.00 63.0 65.0 64.0 2.0 3.430
Male 15.0 15.0 6.00 66.0 61.0 61.0 2.0 3.600
Male 5.0 40.0 10.00 71.0 63.0 70.0 2.5 2.910
Female 35.0 21.0 10.50 63.0 68.0 75.0 2.5 2.830
Female 1.0 2.0 8.00 65.5 62.0 71.0 4.5 3.220
Female 4.0 9.0 7.00 66.0 63.0 72.0 6.0 3.800
Male 0.0 14.0 7.50 72.0 67.0 74.0 4.0 2.100
Female 5.0 5.0 8.50 68.0 67.0 70.0 0.5 2.870
Female 5.0 5.0 7.00 65.0 62.0 67.0 2.0 3.910
Female 0.5 3.0 4.00 65.0 63.5 69.0 1.5 4.000
Female 1.0 2.0 7.00 66.0 67.0 70.0 2.5 2.500
Female 15.0 10.0 8.00 66.0 65.0 68.0 2.0 3.500
Female 5.0 6.0 7.00 67.0 64.0 71.0 5.0 3.420
Female 8.0 8.0 6.00 63.0 61.0 70.0 4.0 3.300
Male 1.0 37.0 7.00 69.0 64.0 71.0 1.0 3.600
Female 10.0 14.0 10.00 66.0 60.0 69.0 10.0 2.260
Male 2.0 28.0 7.00 70.0 60.0 78.0 2.0 3.180
Female 1.0 7.0 6.00 61.0 63.0 69.0 7.0 3.200
Female 1.0 13.5 3.00 62.0 60.0 68.0 3.0 3.900
Male 2.0 4.0 6.00 65.0 61.0 63.0 11.0 2.000
Female 1.0 6.0 5.00 63.5 62.0 63.0 3.0 2.000
Female 4.0 10.0 4.50 61.0 62.0 65.0 0.0 2.660
Female 3.0 20.0 7.00 64.0 61.0 63.0 2.0 3.880
Male 8.0 35.0 8.00 57.0 61.0 66.0 25.0 2.500
Male 1.0 17.5 5.00 69.0 62.0 72.0 3.0 3.150
Female 3.0 5.0 9.00 61.0 65.0 69.0 7.0 2.700
Male 12.0 25.0 6.00 76.0 64.0 72.0 1.5 3.170
Male 0.5 10.0 5.50 69.0 62.0 68.0 6.5 3.300
Male 9.0 2.0 7.00 77.0 71.0 76.0 15.0 2.340
Male 25.0 25.0 9.00 75.0 63.0 77.0 3.0 2.400
Female 2.0 6.0 8.00 61.0 64.0 68.0 1.0 3.000
Female 3.0 35.0 8.00 63.0 61.0 72.0 0.0 2.810
Female 1.0 35.0 8.00 62.0 62.0 72.0 2.0 2.820
Female 3.5 9.0 6.50 64.0 64.0 74.0 5.5 3.880
Female 30.0 24.0 6.00 64.0 62.0 68.0 2.0 2.190
Male 20.0 7.0 7.00 72.0 67.0 73.0 5.0 2.290
Female 3.0 5.0 10.00 65.0 66.0 73.0 1.0 3.620
Female 2.0 5.0 8.00 64.0 61.0 67.0 3.0 3.100
Female 15.0 10.0 9.00 59.0 60.0 64.0 2.0 2.800
Female 16.0 21.0 7.00 65.0 67.0 68.0 2.0 2.740
Female 5.0 10.0 8.00 63.0 65.0 68.0 4.5 2.990
Male 8.0 4.0 6.00 71.0 66.0 70.0 8.0 3.000
Female 10.0 15.0 4.50 64.5 62.0 66.5 1.0 2.700
Female 2.0 25.0 8.00 64.0 63.0 71.0 2.0 3.100
Male 8.0 1.5 6.00 72.0 63.0 74.0 10.0 3.400
Male 10.0 2.0 5.50 68.0 63.0 68.0 8.0 2.400
Male 10.0 25.0 7.00 69.0 64.0 67.0 2.0 2.760
Female 6.0 12.0 9.50 70.0 62.0 76.0 0.0 3.000
Female 3.5 2.0 8.00 60.0 61.0 65.0 2.5 3.860
Male 3.0 20.0 5.50 66.0 62.0 70.0 2.0 2.100
Female 1.0 12.0 8.00 62.0 63.0 68.0 2.0 3.450
Female 5.0 35.0 5.00 65.0 69.0 72.0 5.0 2.180
Male 8.0 32.0 6.00 72.0 65.0 71.0 1.5 2.800
Male 9.0 7.0 7.00 75.0 68.0 74.0 7.0 3.500
Male 1.0 10.0 5.00 72.0 60.0 74.0 3.0 4.000
Female 5.0 2.0 6.00 64.0 62.0 66.0 6.0 4.000
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