Assignment: 15.6 Practice Assignment Score: 16.66% Save Submit Assignment for Grading Questions Exercise 15.29 (Using the Estimated Regression Equation for Estimation and Prediction) Question 1 of 2 1 . Hint(s) Check My Work 2. O The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y) as a function of television advertising (21 ) and newspaper advertising (22). Values of y, 21, and 2 are expressed in thousands of dollars. Click on the datafile logo to reference the data. DATA file Weekly Gross Television Newspaper Revenue Advertising Advertising ($1000s) ($1000s) ($1000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 The estimated regression equation was y = 83.23 + 2.29:1 + 1.30x2 a. What is the gross revenue expected for a week where $3,500 is spent on television (x1 = 3.5) and $1,800 is spent on newspaper advertising (x2 = 1.8) (to 3 decimals)? $ 93.585 thousand b. Provide a 95%% prediction interval for next week's revenue, assuming that the advertising expenditures will be allocated as in part (a) (to 2 decimals). ($ 92.35 x thousand, $ 94.82 x thousand )Assignment: 15.6 Practice Assignment Score: Save Submit Assignment for Gr Questions Exercise 15.29 Algo (Using the Estimated Regression Equation for Estimation and Prediction) Question 1. Hint(s) Check My W 2. The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y) as a function of television advertising (@1 ) and newspaper advertising (2). Values of y, 21, and *2 are expressed in thousands of dollars. Weekly Gross Television Newspaper Revenue Advertising Advertising ($1000s) ($1000s) ($1000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 The estimated regression equation was y = 83.23 + 2.29x1 + 1.30x2 a. What is the gross revenue expected for a week where $3,500 is spent on television (x1 = 3.5) and $1,800 is spent on newspaper advertising (x2 = 1.8) (to 3 decimals)? $ 93.585 thousand b. Provide a 95% prediction interval for next week's revenue, assuming that the advertising expenditures will be allocated as in part (a) (to 2 decimals). $ thousand, $| thousand)