Suppose you wanted to create a multiple linear regression model to predict a graduating college student's starting salary. Below is a result of a multiple linear regression analysis showing the coefficients of the explanatory variables used as predictors. Coefficients Estimates Definition Intercept 37251.84 gpa 735.13 Student graduating GPA stem 20558.78 Graduated with a STEM degree (1 = Yes) (a) Write the multiple linear regression equation using the information given earnings = gpa stem (b) Which of the following is an appropriate interpretation of the coefficients of the explanatory variables in the multiple linear regression equation? For every GPA point a student has on graduation, we expect an average increase of $ 37251.84 in their starting salary for both STEM and non-STEM degrees. Furthermore, if they have a STEM degree, we expect an average increase of $ 735.13 in their starting salary. For every GPA point a student has on graduation, we expect an average increase of $ 735.13 in their starting salary for both STEM and non-STEM degrees. Furthermore, if they have a STEM degree, we expect an average increase of $ 20558.78 in their starting salary. For every GPA point a student has on graduation, we