The chair of the accounting department plans to develop a regression model to predict the grade point average in accounting for those students who are graduating and have completed the accounting major, based on a student’s SAT score and whether the student received a grade of B or higher in the introductory statistics course (0 = no and 1 = yes).

a. Explain the steps involved in developing a regression model for these data. Be sure to indicate the particular models you need to evaluate and compare.

b. Suppose the regression coefficient for the variable whether the student received a grade of B or higher in the introductory statistics course is + 0.30. How do you interpret this result?