15.6 Practice Assignment: 15.6 Practice Assignment Score: 0.00% v Submit Assignment for Grading Questions Exercise 15.29 (Using the Estimated Regression Equation for Estimation and Prediction) Question1of2 |- Check My Work 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 (Z2). Values of 3, 1, and T2 are expressed in thousands of dollars. Click on the datafile logo to reference the data. DATA T Weekly Gross Television Newspaper Revenue Advertising Advertising ($1000s) ($1000s) ($1000s) 96 5.0 i.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 3.0 225 The estimated regression equation was 4 = 83.23 + 2.29z; + 1.30z2 a. What is the gross revenue expected for a week where $3,500 is spent on television (@1 = 3.5) and $1,800 is spent on newspaper advertising (2, = 1.8) (to 3 decimals)? $ 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 ) Check My Work 15.6 Practice Assignment: 15.6 Practice Assignment Score: 0.00% v Submit Assignment for Grading Questions Exercise 15.29 Algo (Using the Estimated Regression Equation for Estimation and Prediction) 4 Question 2 of 2 1 B Check My Work The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue () as a function of television advertising (1) and newspaper advertising (Z2). Values of , &1, and X2 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 g = 83.23 + 2.29z + 1.30z, a. What is the gross revenue expected for a week where $3,500 is spent on television (z; = 3.5) and $1,800 is spent on newspaper advertising (z2 = 1.8) (to 3 decimals)? $ 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) Check My Work