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1. Suppose we are interested to estimate Blood Pressure based on five predictors, Sex Male (1 for male and 0 for female), Age, Weight, Smoker_1 (1 for smoker and 0 for non-smoker), Sex Male: Weight Interaction between Sex and Weight. (15 Points) The following table summarizes the estimated coefficients: Estimated Coefficients: Estimate SE tStat RValue (Intercept) 133. 17 10.337 12. 883 1. 76e-22 Sex Male -35 17 .524 -2. 0126 D . 047015 Age 0 . 11584 0 . 067664 1 . 712 0 . 090198 Weight -0.1393 0 . 080211 -1. 7367 D . 085722 Smoker 1 25 1. 0229 9. 6102 1. 2391e-15 Sex Male : Weight 0 . 2341 0 . 11192 2 . 0917 0 . 039162 Number of observations: 100, Error degrees of freedom: 94 Root Mean Squared Error: 4. 72 R-squared: 0.53, Adjusted R-Squared 0.505 F-statistic vs. constant model: 21.2, p-value = 4e-14 XX in front of Smoker 1 is the last two digits of your student number. If the last two digits of your student number is 00, then use 50. a) If you were to correctly drop insignificant variables from your regression line, which variable(s) would you drop? Why? (5 Points) b) What does the estimate for coefficient Smoker_1 suggest? (5 Points) c) Based on the model, predict the Blood Pressure of a 31 year-old, smoker, and 140 Ibs female. (5 Points)