Stat 539: Biostatistics Methods II Homework assignment 7, due Thursday March 30 Recall the data from the second HW, given below: The following data were collected from 48 women who were at least 40 years old when they gave birth to their first child. The data concern the gestation period of that pregnancy, and related variables on the child and mother. The columns are, from left to right: 1) ID 2) The child's gestation period, in weeks 3) Sex of the child (0=Male, 1=Female) 4) Birth Weight of child, in grams 5) Number of cigarettes smoked per day (on average) by the mother 6) Height of mother in cm 7) Weight of mother in kilograms at first prenatal visit 8) Weight of mother in kilograms at final prenatal visit The goal of the analysis is to determine whether there is an effect of child's sex on the birth weight, after adjusting for other features that might impact birth weight. Devise an analysis to answer this question. Treat smoking as a categorical variable as in the CHDS data, but just define two groups (NS/S). Now you have two categorical variables (although your main interest is in child's sex), and several covariates. This then is a two-way ANOVA with covariates, so you need to worry about interaction between the Sex and Smoking variables (maybe smoking affects the weight of one gender differently from another). Any such effects need to be adjusted for the covariates. If you find a significant sex effect then quantify the direction and size of the effect (i.e. present and interpret appropriate mean differences based on the selected model). Make sure to clearly summarize your findings. DATA ---- 1 36 0 3300 0 160.0 67.3 82.7 2 38 0 3300 60 167.6 52.7 76.0 3 38 0 4100 20 167.6 64.2 79.6 4 38 1 2900 10 163.9 72.7 95.8 5 39 0 2820 0 161.3 50.0 63.3 6 39 0 3040 0 158.8 49.1 61.5 7 39 0 4120 0 160.0 57.7 73.5 8 39 0 4200 0 174.0 68.0 86.8 9 39 1 3100 0 171.5 67.3 85.6 10 39 1 3330 0 160.0 74.0 90.5 11 39 1 3410 0 165.1 55.9 70.7 12 39 1 3420 0 162.6 52.3 66.0 13 40 0 2450 20 167.6 61.4 72.5 14 40 0 2885 0 167.7 60.0 78.6 15 40 0 3235 0 170.2 50.0 65.5 16 40 0 3320 0 165.1 63.6 80.2 17 40 0 3600 0 165.1 53.2 68.7 18 40 0 3720 0 165.0 57.7 74.4 19 40 0 3720 0 172.7 61.4 80.0 20 40 0 3820 0 175.3 60.8 78.1 21 40 0 3840 0 167.0 60.5 83.9 22 40 0 3880 0 156.2 57.3 73.7 23 40 0 3960 0 157.5 52.7 68.2 24 40 0 4465 0 157.5 51.4 66.4 25 40 1 2980 0 160.0 47.7 55.2 26 40 1 3040 0 162.0 49.0 60.3 27 40 1 3060 20 157.5 61.0 75.0 28 40 1 3100 0 170.2 55.5 64.6 29 40 1 3120 0 160.3 56.8 75.4 30 40 1 3205 0 172.7 58.2 75.5 31 40 1 3220 0 170.0 64.6 86.0 32 40 1 4100 40 167.0 67.0 85.0 33 41 0 3100 0 168.9 61.4 69.2 34 41 0 3720 0 170.2 57.7 67.7 35 41 0 3720 20 170.2 57.7 80.5 36 41 0 3900 0 167.0 68.0 85.4 37 41 0 3990 0 165.1 52.3 71.2 38 41 0 4050 0 167.6 61.0 78.5 39 41 0 4080 0 162.6 59.1 83.1 40 41 0 4100 0 165.1 60.5 86.5 41 41 0 4460 20 165.1 56.8 88.0 42 41 0 5220 0 157.5 56.8 68.2 43 41 1 3300 40 162.6 74.1 89.7 44 41 1 3400 0 172.7 71.4 87.8 45 41 1 4000 0 165.1 90.0 100.8 46 41 1 4030 0 166.0 63.0 95.3 47 43 1 3220 0 166.4 60.9 72.0 48 43 1 4270 0 162.6 54.5 70.3