Extracted text: The owner then used multiple regression analysis to predict gross revenue ty), in thousands of dollars, as a function of television advertising (), in thousands of delas, and newpaper advertising (x), in thousands of dollars. The estimated regression equation was 9-83.2 + 2.29, + 1.30r (a) What is the gross revenue (in dollars) expected for a week when s5,000 is spent on television advertising (x,- 5) and $1,500 s spent on newspaper advertising 15P (Round your answer to the nearest dollar.) (b) Provide a 95% confidence interval (in dallars) for the mean revenue of all weeks with the expenditures listed in part (a). (Round your answers to the nearest dollar) x to s (c) Provide a 95% prediction interval (in dollars) for next week's revenue, assuming that the advertising expenditures will be alocated as in part (a) (Round your answers to the nearest dollar.) X to s
Extracted text: The owner of Showtime Movie Theaters, Inc., would lke to predict weekly gross revenue as a function of advertising expenditures Historical data for a sample of eight wecks follow Weekly Gross Revenue ($1,000s) Television Advertising ($1,000s) Newspaper Advertising ($1,000s) 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 owner then used multiple regression analysis to predict gross revenue (y), in thousands of dollars, as a function of television advertising (x), in thousands of dolars, and newspaper advertising (x,), in thousands of dollars. The estimated regression equation was = 83.2 + 2.29x, + 1.30x. (a) What is the gross revenue (in dollars) expected for a week when $5,000 is spent on television advertising (x5) and $1,500 is spent on newspaper advertising (, 1.5)? (Round your answer to the nearest dollar.) $06600 (b) Provide a 95% confidence interval (in dolars) for the mean revenue of all weeks with the expenditures listed in part (a). (Round your answers to the nearest dollar.) x to s