>1 10. 11. LUUKLllg HL [.118 IllSLUgftllTlS lUf ure LIIHL'E PIUUUCLS, WIldL UU yUU CUIlClLlth' dDULlL L[lt' IldLUfE of the three distributions? (multiple choice answer) . Using the sales of women's clothing as the dependent variable, create a regression equation with all five predictors included in the equation. What is the total proportion of variance in the sale of women's clothing that is explained by all five predictors? What is the best estimate of the proportion of variance in the sales of women's clothing that these five predictors explain in the population? Which of the five predictor variables appears irrelevant in this equation? (Multiple choice answer.) Now, build an equation with the four best predictors. What is the proportion of variance explained in the sales of women's clothing by these four independent variables? What is the best estimate of rsquared in the population for the equation in question 5? What is the coefficient (slope) for number of pages in the catalog? What is the predicted value for the sales of women's clothing using the following values for the independent variables (round to two decimal places): Number of Catalogs Mailed: 11000 Number of Pages in the Catalog: 100 Amount Spent on Print Advertising: 30000 Number of Customer Service Representatives: 50 What is the approximate 95% confidence interval for the predicted value in question 8 rounded to the nearest whole number? The predicted value plus or minus Does there appear to be a first-order auto correlation? (Multiple Choice Answer) Looking at the plots of the standardized residuals and the Normal P-P Plot, what do you conclude about the assumption of normal residuals? (Multiple Choice Answer)