Use Minitab, R, or your preferred software for this question An exercise physiol

Question

Use Minitab, R, or your preferred software for this question An exercise physiologist used skinfold measurements to estimate the total body fat, Y, expressed as a percentage of body weight, X1, for 19 participants in a physical fitness program. Body fat percentage and body weight are shown in the table below. 12 3 45 7 8 9 101 12 13 1415161 18 19 1 34567 !) 1() 11 1.2 1.3 14 15 1.7 1.8 19 Weight (kg) 89 88 66 59 93 73 82 77 100 67 57 68 69 59 6259 56 66 72 Body Fat(%) 282724 2312925292530 23293235 1312926283333 Note that participants 1-10 are male and 11-19 are female. Define a variable X2 which is 1 for males and O for females, and fit the model Y-Po+P?X1+P2X2+e. What is the estimated value of the regression coefficient for variable Weight? 2 pt(s) Submit Answer Tries 0/3 What is the estimated value of the intercept? 2 pt(s) Submit Answer Tries 0/3 What is your computed value of SSE? 2 pt(s)] Submit Answer Tries 0/3 What is your computed value of MSE? [1 pt(s)] Submit Answer Tries 0/3 [2 pt(s)] What is the standard error of the estimate of B1? Submit Answer Tries 0/3

Explanation / Answer

(I have used Excel to do this. I have assumed that the values are to be written upto 4 decimal places.)

Estimated value of the regression coefficient for variable Weight = 0.2174
Estimated value of the intercept = 16.9623
Computed value of SSE = 40.9951
Computed value of MSE = 2.5622
Standard error of estimate of beta1 = 0.0372

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