1. The percentage of body fat, age, weight, height, and 10 body circumference measure ments (for example, abdomen) were recorded for 252 men by Dr. Roger W. Johnson of Calvin College in Minnesota. The data are in the bodyfat2 data set in my sub folder My Sasdata [SAS Studio]. Body fat, one measure of health, has been accurately estimated by a water displacement measurement technique. (a) Use PROC CORR to generate scatter plots and correlations for the VAR vari- ables Age, Weight, and Height, and the circumference measures versus the WITH variable, PctBodyFatZ. (b) Examine all of the plots. Can straight lines adequately describe the relationships? (0) Which variable has the highest correlation with PctBodyFat2? ((1) Use the Linear Regression task to perform a simple linear regression model with PctBodyFat2 as the response variable and Weight as the predictor. (e) What is the value of the F statistic and the associated pvalue? How would you interpret this in connection with the null hypothesis? (f) Write the predicted regression equation