One 0' the characteristics is an index of the professor's "beauty" as rated by a panel 0' six judges. In this exercise, you will investigate how course evaluations are related to the professors beauty, The following table uses data on course evaluations. course characteristics. and professor characteristics for 463 courses at the University of Texas at Austin. Download the data from the table by clicking the download table icon C! . Adetailed description of the variables used in the dataset is available here 0 . Use a statisn'cal package of your choice to answer the following questions. Observe the 'ollowing scatterplot 0' average course evaluations (Course Evaluations) on the professol's beauty (Beauty). Course Evaluatlon Q 5 o o c Q a \"so a 0 r; M 4 0000 mo 0 o o oo o e a a o a, a o Does there appear to be a relationship between the variables? . Yes, there appears to be a positive relationship between the variables. Yes, there appears to be a negative relationship between the variables. . There appears to be a positive relationship between the variables at low levels of protessor's beauty, but a negative relationship at high levels of professor's beauty. . There is no evident relationship between the variables. Suppose you are interested in estimating the following model Course Evaluation = 50 + 18eauly + u Run a regression of average course evaluation (Course Evaluation) on the professor's beauty (Beauty). What is the estimated intercept :50? The estimated intercept 2'0 is (Round your response to three decimal places) What is the estimated slope J91 ? The estimated slope 191 is Is the estimated intercept So meaningful in this case? O A. Yes. O B. No. 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. (Hint: to find the Beauty value for Professor Watson, find the average of variable Beauty in excel. To find the Beauty value for Professor Stock, you should find the sample standard deviation of the variable Beauty in excel first. Then, you can calculate his Beauty value by using this standard deviation and the average.) Professor Watson's predicted value of course evaluation is. (Round your response to two decimal places) Professor Stock's predicted value of course evaluation is (Round your response to two decimal places) Compute the R for the regression above. The R for the regression above is (Round your response to four places) Does Beauty explain a large fraction of the variance in evaluations across courses? O A. Yes. O B. No. Clear all Check