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A B C D E F G H sex tv computer sleep alcohol exercise gpa health discipline 1.0 13.0 10.0 5.00 12.0 2.0 2.000 2.00

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A B C D E F G H sex tv computer sleep alcohol exercise gpa health discipline 1.0 13.0 10.0 5.00 12.0 2.0 2.000 2.00 1.0 1.0 20.0 17.0 9.00 6.0 2.0 3.100 2.00 1.0 4 1.0 15.0 15.0 6.00 14.0 3.0 2.600 2.00 1.0 5 1.0 2.5 10.0 5.00 5.0 6.5 2.620 3.00 1.0 6 1.0 8.0 10.0 7.00 4.5 4.5 3.200 3.00 1.0 1.0 1.0 15.0 8.00 5.0 3.0 3.310 2.00 1.0 8 1.0 6.0 30.0 6.50 0.0 1.5 3.750 2.00 1.0 9 1.0 11.0 20.0 5.00 13.0 0.0 2.500 1.00 1.0 10 1.0 10.0 14.0 8.00 15.0 10.0 2.800 3.00 1.0 11 1.0 10.0 11.0 9.00 21.0 0.0 2.000 2.00 1.0 12 1.0 10.0 1.0 9.00 15.0 4.0 2.400 2.00 13 1.0 1.0 4.0 5.0 5.50 25.0 .0 2.100 2.00 14 1.0 1.0 16.0 12.0 7.00 0.0 14.0 3.000 3.00 15 1.0 1.0 19.0 10.0 8.50 25.0 3.0 2.200 2.00 16 1.0 1.0 30.0 30.0 9.50 10.0 1.0 2.500 1.00 1.0 17 1.0 1.5 8.0 8.50 8.0 5.0 3.500 2.00 1.0 8T 1.0 15.0 5.0 6.00 30.0 4.0 3.600 2.00 19 1.0 1.0 4.0 5.0 6.50 4.0 .0 3.160 3.00 1.0 20 1.0 6.0 6.0 5.00 20.0 10.0 2.400 3.00 21 1.0 1.0 19.0 4.0 7.00 12.0 3.0 2.650 2.00 1.0 22 1.0 2.0 25.0 6.00 0.0 0.0 3.840 2.00 23 1.0 1.0 3.5 22.5 7.00 2.0 3.0 3.400 2.00 1.0 24 1.0 1.0 14.0 7.00 9.0 10.0 3.200 3.00 1.0 25 1.0 1.0 10.0 6.50 0.0 8.0 3.000 3.00 26 1.0 1.0 1.0 23.0 7.00 1.0 3.0 3.500 27 2.00 1.0 1.0 6.0 3.0 7.00 2.0 10.0 3.280 3.00 28 1.0 1.0 10.0 5.0 9.00 0.0 3.0 2.870 1.00 1.0 29 1.0 18.0 14.0 7.00 0.0 5.0 3.190 3.00 1.0 30 1.0 23.0 6.0 6.00 17.0 4.0 1.900 2.00 1.0 31 2.0 2.0 15.0 8.00 0.0 5.0 3.895 3.00 1.0 32 2.0 8.0 20.0 6.00 9.0 6.0 2.800 3.00 33 1.0 2.0 20.0 7.0 9.00 20.0 0.0 2.200 1.00 1.0 34 2.0 4.0 28.0 8.50 1.5 3.0 3.780 2.00 1.0 35 2.0 8.0 25.0 4.50 0.0 6.0 3.390 2.00 36 1.0 2.0 3.5 9.0 8.00 7.0 3.0 3.000 3.00 37 1.0 2.0 1.0 84.0 5.00 2.5 3.0 2.340 2.00 1.0 38 2.0 31.0 5.0 6.50 25.0 0.0 1.050 1.00 1.0 39 2.0 2.0 6.0 5.00 15.0 10.0 3.250 3.00 1.0 40 2.0 40.0 4.0 4.00 0.0 4.5 3.500 2.00 1.0 41 2.0 10.0 15.0 5.00 0.0 5.0 2.520 3.00 1.0 42 2.0 10.0 12.0 9.00 10.0 7.0 3.000 3.00 43 1.0 2.0 6.0 25.0 6.50 0.0 2.0 4.000 2.00 1.0 44 2.0 15.0 40.0 5.00 7.0 10.0 2.600 3.00 1.0 Sheet1 +A B C D E F G H 45 2.0 19.0 5.0 6.00 20.0 2.0 0.548 2.00 1.0 46 2.0 10.0 20.0 8.00 0.0 5.0 4.000 3.00 1.C 47 2.0 4.0 3.0 6.00 10.0 3.0 2.200 2.00 1.0 48 2.0 1.5 5.5 5.50 0.0 1.5 3.200 1.00 1.0 49 2.0 4.0 1.0 7.50 6.0 4.0 2.810 2.00 1.0 50 2.0 20.0 15.0 6.50 30.0 4.0 1.980 2.00 1.0 51 2.0 20.0 25.0 9.00 0.0 5.0 2.510 3.00 1.0 52 1.0 5.0 20.0 4.00 2.0 2.0 3.200 1.00 2.0 53 1.0 0.0 30.0 3.50 0.0 6.0 3.040 3.00 2.0 54 1.0 11.0 17.0 4.50 20.0 4.0 2.500 3.00 2.0 55 1.0 1.0 8.5 7.00 10.0 4.0 2.600 2.00 2.0 56 1.0 8.0 7.0 8.00 0.0 6.0 2.800 3.00 2.0 57 1.0 6.0 3.0 4.50 1.0 5.5 3.200 3.00 2.0 58 1.0 10.0 7.0 4.00 0.0 2.0 3.500 1.00 2.0 59 1.0 15.0 6.0 9.50 5.0 2.0 2.500 2.00 2.0 60 1.0 4.0 17.5 9.00 1.0 2.0 2.140 3.00 2.0 61 1.0 12.0 10.0 8.50 0.0 2.0 3.000 1.00 2.0 62 1.0 14.0 21.0 6.50 15.0 3.0 2.230 2.00 2.0 63 1.0 2.0 7.0 7.50 13.0 6.0 2.580 3.00 2.0 64 1.0 2.0 10.0 5.25 0.0 8.0 3.000 3.00 2.0 65 1.0 7.0 15.0 8.00 4.0 1.5 3.750 2.00 2.0 66 1.0 14.0 28.0 9.00 8.0 1.5 3.160 3.00 2.0 67 1.0 16.0 21.0 7.50 0.0 21.5 3.000 3.00 2.0 68 1.0 10.0 20.0 6.00 0.0 1.0 2.750 3.00 2.0 69 1.0 15.0 17.0 5.00 3.0 20.0 3.875 3.00 2.0 70 1.0 14.0 14.0 5.00 0.0 1.5 3.240 1.00 2.0 71 1.0 14.0 20.0 7.00 0.0 2.0 3.000 2.00 2.0 72 1.0 8.0 10.0 8.00 0.0 2.0 3.100 2.00 2.0 73 1.0 2.0 30.0 7.00 3.0 4.0 3.400 2.00 2.0 74 1.0 14.0 10.0 7.00 14.0 3.0 2.800 2.00 2.0 75 1.0 2.0 18.0 8.00 7.0 7.0 3.370 2.00 2.0 76 1.0 6.0 21.0 9.00 0.0 2.0 3.400 2.00 2.0 77 1.0 9.0 19.0 8.00 1.0 3.0 3.500 2.00 2.0 78 1.0 14.0 35.0 5.50 5.0 0.0 3.500 1.00 2.0 79 1.0 14.0 2.0 9.00 18.0 3.0 2.000 2.00 2.0 80 1.0 15.0 10.0 6.00 12.0 1.0 2.700 2.00 2.0 81 1.0 2.0 17.0 6.50 1.0 30.0 3.000 3.00 2.0 82 1.0 26.0 5.0 8.50 15.0 1.0 2.170 1.00 2.0 83 1.0 10.0 8.0 7.00 0.0 0.0 3.100 1.00 2.0 84 1.0 10.0 40.0 10.00 5.0 2.0 3.430 2.00 2.0 85 2.0 0.0 30.0 8.50 2.5 2.0 2.000 2.00 2.0 86 2.0 2.0 10.0 11.00 0.0 2.0 3.060 2.00 2.0 87 2.0 1.0 5.0 4.00 0.0 3.0 3.000 2.00 2.0 88 2.0 3.0 8.0 7.00 0.0 2.0 3.300 2.00 2.0 Sheet1 +A B C D E F G H 89 2.0 15.0 25.0 7.00 2.0 5.0 3.000 2.00 2.0 90 2.0 12.0 12.0 5.00 10.0 6.0 2.400 2.00 2.0 91 2.0 12.0 8.0 9.00 14.0 5.0 2.020 2.00 2.0 92 2.0 15.0 30.0 8.00 0.0 10.0 3.000 3.00 2.0 93 2.0 21.0 3.0 8.00 0.0 10.0 3.730 2.00 2.0 94 2.0 8.0 20.0 5.00 12.0 2.0 2.300 3.00 2.0 95 2.0 4.0 10.0 8.00 5.0 6.0 3.500 1.00 2.0 96 2.0 10.0 5.0 2.00 5.0 1.0 2.660 2.00 2.0 97 2.0 9.0 21.0 7.50 5.0 4.5 3.250 3.00 98 2.0 2.0 3.5 21.0 6.50 1.0 3.5 3.300 2.00 2.0 99 2.0 23.0 10.0 12.00 25.0 2.0 1.850 3.00 2.0 100 2.0 10.0 18.0 8.00 2.0 3.0 3.975 2.00 2.0 101 2.0 5.5 20.0 10.00 5.0 4.0 3.120 2.00 2.0 102 2.0 0.0 1.0 6.50 10.0 0.0 2.970 1.00 2.0 103 2.0 21.0 21.0 6.50 0.0 1.0 3.000 2.00 2.0 104 2.0 11.0 7.0 7.00 1.0 5.0 3.010 3.00 2.0 105 2.0 1.5 20.0 8.00 0.0 0.0 4.000 1.00 2.0 106 2.0 21.0 9.0 8.00 0.0 0.0 2.400 2.00 2.0 107 2.0 10.0 16.0 8.00 0.0 2.5 3.500 2.00 2.0 108 2.0 10.0 14.0 7.00 13.0 7.0 2.500 2.00 2.0 109 2.0 20.0 30.0 6.00 8.0 10.0 2.500 3.00 2.0 110 2.0 5.0 15.0 6.00 0.0 2.0 3.600 1.00 2.0 111 1.0 5.0 40.0 10.00 0.0 2.5 2.910 2.00 3.0 112 1.0 35.0 21.0 10.50 10.0 2.5 2.830 2.00 3.0 113 1.0 1.0 2.0 8.00 0.0 4.5 3.220 2.00 3.0 114 1.0 14.0 21.0 6.00 0.0 1.0 3.000 2.00 3.0 115 1.0 5.0 5.0 8.50 10.0 0.5 2.870 2.00 3.0 116 1.0 25.0 10.0 6.00 20.0 0.0 2.000 1.00 3.0 117 1.0 7.0 28.0 6.00 0.0 1.5 4.000 2.00 3.0 118 1.0 1.0 10.0 7.00 10.0 2.5 2.500 1.00 3.0 119 1.0 5.0 6.0 7.00 3.0 5.0 3.420 2.00 3.0 120 1.0 8.0 8.0 6.00 3.0 4.0 3.300 1.00 3.0 121 1.0 1.0 37.0 7.00 0.0 1.0 3.600 2.00 3.0 122 1.0 10.0 14.0 10.00 3.0 10.0 2.260 3.00 3.0 123 1.0 17.0 15.0 7.00 18.0 1.0 2.000 2.00 3.0 124 1.0 1.0 7.0 6.00 0.0 7.0 3.200 2.00 3.0 125 1.0 1.0 13.5 3.00 0.0 3.0 3.900 3.00 3.0 126 1.0 15.0 6.0 6.00 20.0 11.0 2.000 2.00 3.0 127 1.0 3.0 20.0 7.00 5.0 2.0 3.880 2.00 3.0 128 1.0 1.0 17.5 5.00 0.0 3.0 3.150 2.00 3.0 129 1.0 30.0 15.0 6.00 10.0 1.0 2.470 1.00 3.0 130 1.0 9.0 2.0 7.00 20.0 3.0 2.340 2.00 3.0 131 1.0 3.0 35.0 8.00 0.0 0.0 2.810 2.00 3.0 132 L.O 1.0 35.0 8.00 4.0 2.0 2.820 2.00 3.0 Sheet1 +\fUse the data set: CollegeActivities-AlcMod Variable Definitions The data set shows responses to a questionnaire of 173 college students of an unnamed university. The variables in the questionnaire are defined below. gender = gender (1 = male; 2 = female) tv = hours of television watched per week computer = hours spent on computer per week gpa = grade point average sleep = average number of hours sleep per night alcohol = average number of alcoholic drinks per week exercise = average number of hours exercise per week discipline = discipline of study (1 = science, 2 = business, 3 = arts) health = health status rating (1 = below average; 2 = average; 3 = above average)Part 1: [Output = 48; Answers = 104; Total = 152 pts] 10. Create a frequency table and bar graph for discipline and comment on the results. Draw a histogram and a boxplot for gag. Comment on the results Draw scatter plots of (a) mversus tv and (b) gpgmversus alcohol. Comment on the results. Create a table of gagby discipline. The table should include mean, median, and standard deviation for each discipline. Compare the results across the three disciplines. Construct and intirpret a 95% condence interval for the overall mean m Consider the average number of alcoholic drinks per week (alcohol). Are there significant differences between males and females Again, consider the average number of alcoholic drinks per week (alcohol). Are there signicant differences among the disciplines? If so, which specic groups are signicantly different? a. Is gender independent of discipline? b. What percentage of females are within each discipline? Create a correlation matrix for the following variables: computer, sleep, alcohol, tv, exercise, gpna and health. Comment on the results that are signicant. Perform regression analysis with was dependent variable and the following variables as independent variables: computer, sleep, alcohol, tv, exercise. a. Is the overall regression signicant? b. Which independent variables signicantly impact wand what is the nature of the effect (direction)? 0. Comment on the goodness of the regression. d. Comment on the assumptions of normality and constancy of variance

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