I need help on this question soon as possible. the second document for question 5

5. The data file TeachingRatings contains data on course evaluations, course daracteristics, and professor characteristics for 463 courses at the University of Texas at Anstin. A detailed description is given in TeachingRatings_Description. One of the characteristies is an index of the professor's "beauty" as rated by a panel of six judges. In this exercise, you will investigate how coure evaluations are related to the professor's beauty. (a) Run a regression of average coure evaluations (Course_Eval) on the profescor's beauty (Beauty). What is the estimated intercept? What is the estimated slope? Explain why the estimated intereept is equal to the sample mean of Course Eval. (Hint: What is the sample mean of Beauty?) (b) Professor Watson has an average value of Beauty, while Professor Stock's value of Beauty is one standard deviation above the average. Predict Professor Stock's and Professor Watson's course evaluations. (c) Doss Beauty explain a large fraction of the variance in evaluations across courses? Explain. DOCUMENTATION FOR TEACHINGRATINGS DATA TeachingRatings contains data on course evaluations, course characteristics, and professor characteristics for 463 courses for the academic years 2000-2002 at the University of Texas at Austin. These data were provided by Professor Daniel Hamermesh of the University of Texas at Austin and were used in has paper with Amy Parker, -Beauty in the Classroom: Instructors' Pulchnitade and Putative Podagogical Productivity, Economics of Education Rencw, August 2005. Vol. 24, No, 4. P.. 369376. Variable Definitions 5. The data file TeachingRatings contains data on course evaluations, course daracteristics, and professor characteristics for 463 courses at the University of Texas at Anstin. A detailed description is given in TeachingRatings_Description. One of the characteristies is an index of the professor's "beauty" as rated by a panel of six judges. In this exercise, you will investigate how coure evaluations are related to the professor's beauty. (a) Run a regression of average coure evaluations (Course_Eval) on the profescor's beauty (Beauty). What is the estimated intercept? What is the estimated slope? Explain why the estimated intereept is equal to the sample mean of Course Eval. (Hint: What is the sample mean of Beauty?) (b) Professor Watson has an average value of Beauty, while Professor Stock's value of Beauty is one standard deviation above the average. Predict Professor Stock's and Professor Watson's course evaluations. (c) Doss Beauty explain a large fraction of the variance in evaluations across courses? Explain. DOCUMENTATION FOR TEACHINGRATINGS DATA TeachingRatings contains data on course evaluations, course characteristics, and professor characteristics for 463 courses for the academic years 2000-2002 at the University of Texas at Austin. These data were provided by Professor Daniel Hamermesh of the University of Texas at Austin and were used in has paper with Amy Parker, -Beauty in the Classroom: Instructors' Pulchnitade and Putative Podagogical Productivity, Economics of Education Rencw, August 2005. Vol. 24, No, 4. P.. 369376. Variable Definitions