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15.6 Practice Assignment: 15.6 Practice Assignment Score: 0.009% Save Submit Assignment for Grading Questions Exercise 15.29 (Using the Estimated Regression Equation for Estimation and Prediction)

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15.6 Practice Assignment: 15.6 Practice Assignment Score: 0.009% Save Submit Assignment for Grading Questions Exercise 15.29 (Using the Estimated Regression Equation for Estimation and Prediction) Question 1 of 2 1. O 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 ($1) and newspaper advertising (2:2). Values of y, $1, 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 + 2.29x1 + 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)? $ 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

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