The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x 1) and newspaper advertising (x 2). The estimated regression equation was
| Weekly Gross Revenue ($1000s) | Televison Advertising ($1000s) | Newspaper Advertising ($1000s) |
| 96 | 5 | 1.5 |
| 90 | 2 | 2 |
| 96 | 5 | 1.5 |
| 92 | 2.5 | 3.5 |
| 95 | 4 | 4.3 |
| 95 | 4.5 | 2.3 |
| 94 | 3.5 | 5.2 |
| 94 | 4 | 3.5 |
ŷ = 85.7 + 1.94 x 1 + 0.3 x
2
The computer solution provided SST = 30 and SSR = 29.424.
| R 2 | |
| R a2 |
R2 = SSR/SST = 29.424/30 = 0.981
R a2 = 1-(1-R2)*((n-1)/(n-k-1))
= 1-(1-0.981)*((8-1)/(8-2-1))
= 0.973
Yes, because greater variability is explained when both
independent variables are used
as R2 for multiple regression is higher than that with only TV
advertising
The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y)...
The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x 1) and newspaper advertising (x 2). The estimated regression equation was Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 96 5 1.5 90 2 2 95 5 1.5 93 3.5 3.5 96 4 4.3 95 4.5 2.3 95 3.5 5.2 95 4 3.5 ŷ = 84.3 + 2.02 x 1 + 0.7 x 2 The...
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