b. Suppose you want to allow both slope [of height] and intercept to be different for different. gender, how would you build the linear regression model? Question An engineer has stated: \"Reduction of the number of candidate explanatory variables should always be done using the objective forward stepwise regression procedure." Discuss. Question A junior investment analyst used a polynomial regression model of relatively high order in a research seminar on municipal bonds and obtained an R2 of [1.991 in the regression of net. interest yield ofbond {Y] on industrial diversity index of municipality [ X] for seven bond issues. A classmate, unimpressed, said: \"You overfitted. Your curve follows the random effects in the data." a. Comment on the classmate's criticism. b. Might. Raj be more appropriate than R2 as a descriptive measure here? Question Suppose you want to build a linear regression for response variable weight ( Y ) using covariate height ( X1 ) and gender ( X2 = 0 for female and X2 = 1 for male). a. Suppose you want to allow the slope (of height) to be the same for different gender but different intercept, how would you build the linear regression model