On the first day of class, an engineering 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. The accompanying data file shows information on 60 students.

a) Estimate the sample regression equation that enables us to predict a student's final exam score (Final) on the basis of his/her math score (Math), and the number of hours studied per week (Hours). (2 points)

b) Interpret the slope coefficients. (2 points)

c) 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? State your null and alternative hypothesis. (2 points)

d) At the 5% significance level, is each predictor variable individually significant in explaining a student's final exam score? State your null and alternative hypothesis. (2 points)

e) Predict the Final scores for 4 hours studied weekly and 79 score on Math. Compare it to the observed Final score of 76. What is the value of the residual?. (2 points)

Can you please explain how to get the answers in Excel