The owner then used multiple regression analysis to predict gross revenue ty), in thousands of doltars, as a function of television advertising (), in thousands of detan, and newpaper advertising (x), in thousands of dollars. The estimated regression equation was 9- 83.2 + 2.29, + 1.30x (a) What is the gross revenue (in dollars) expected for a week when s5,000 is spent on television advertising (,- 5) and $1,500 spent on newspaper advertising 5P (Round your answer to the nearest dollar.) $96600 (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
The owner then used multiple regression analysis to predict gross revenue ty), in thousands of doltars, as a function of television advertising (), in thousands of detan, and newpaper advertising (x), in thousands of dollars. The estimated regression equation was 9- 83.2 + 2.29, + 1.30x (a) What is the gross revenue (in dollars) expected for a week when s5,000 is spent on television advertising (,- 5) and $1,500 spent on newspaper advertising 5P (Round your answer to the nearest dollar.) $96600 (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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image 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

Transcribed Image 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
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