On the first day of class, an economics professor administers a test to gauge the math preparedness of her students. She believes that the performance on this math test and the number of hours studied per week on the course are the primary factors that predict a student’s score on the final exam. She collects data from 60 students, a portion of which is shown in the accompanying table. The entire data set, labeled Final_Test, can be found on the text website.

a. Specify the sample regression equation that enables us to predict a student’s final exam score on the basis of his/her math score and the number of hours studied per week.
b. At the 5% significance level, are a student’s math score and the number of hours studied per week jointly significant in explaining a student’s final exam score?
c. At the 5% significance level, is each explanatory variable individually significant in explaining a student’s final examscore?

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Final Math Hours 92 63