Please complete using SAS and show step by step how to

A trucking company wants to predict the yearly maincenance expense (Y) for a truck using the number of miles driven during the year (X1) and the age of the truck ( X2, in years) at the beginning of the year. The campany has gathered the information given in the file P 10 16.x|sx. Each vbservation corresponds to a particular truck. a. Estimate a multiple regression equation using the given data, b. Find 95% confidence intervals for the regrassion coefficients of X1 and X2. Based on these interval estimates, which variable, if any, would you choose to remove from the equation estimated in part a? Why? A trucking company wants to predict the yearly maincenance expense (Y) for a truck using the number of miles driven during the year (X1) and the age of the truck ( X2, in years) at the beginning of the year. The campany has gathered the information given in the file P 10 16.x|sx. Each vbservation corresponds to a particular truck. a. Estimate a multiple regression equation using the given data, b. Find 95% confidence intervals for the regrassion coefficients of X1 and X2. Based on these interval estimates, which variable, if any, would you choose to remove from the equation estimated in part a? Why