Ive been stuck on this question for a long time. A thorough explanation would be greatly appreciated

(a) Using the subseto hnctioni. hide the original data frame 'Irto two parts by the Book variable and denote the datatrame for the lms based on books published before the release of the movie as y and the dataframe for the other tins as n. Show a screenshot of you Environment tab. (b) Estimate the W. = A, + 12mm): + 19,me + a: mult'ple linear regession model twice, rst for the iiins that were based on books published before the release of the movie and then for the films that were not based on books published before the release of the movie. Write out the sample regression equations using the actual variable names. (c) For both of your regressions. i. Interpret the adjusted coefcient of detenn'nation- Is the model Rely to be usefll in precicting the gross earnings generated by movies? Explain you answer. ii. Test the overall significance of the model at the 1% signicance level. What are the hypotheses, the statistical decision, and the conclusion? Be precise. iii. Based on your expectations in part (b) of Exercise 2. test appropriate hypotheses concerning the slope coefcients using t-tests at the 5% signicance level. What are your decisions and conchsions'? iv. Interpret the slope coefcients that you deemed signicant in the expected direction. (d) What do your two regessions suggest to you about the gross earnings generated by films that are based on books published before the release of the movie and by lms that are not based on books published before the release of the movie movies? (Hint. compare the corresponding slope estimate to each other.) \f\f