b)
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.958663444 | |||||||
R Square | 0.9190356 | |||||||
Adjusted R Square | 0.88664984 | |||||||
Standard Error | 0.642587303 | |||||||
Observations | 8 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 2 | 23.43540779 | 11.7177039 | 28.37776839 | 0.001865242 | |||
Residual | 5 | 2.064592208 | 0.412918442 | |||||
Total | 7 | 25.5 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 83.23009169 | 1.573868952 | 52.88247894 | 4.57175E-08 | 79.18433275 | 87.27585063 | 79.18433275 | 87.27585063 |
Television Ad | 2.290183621 | 0.304064556 | 7.531899313 | 0.000653232 | 1.508560797 | 3.071806445 | 1.508560797 | 3.071806445 |
Newspaper Ad | 1.300989098 | 0.320701597 | 4.056696662 | 0.009760798 | 0.476599399 | 2.125378798 | 0.476599399 | 2.125378798 |
Revenue = 83.2301 + 2.2902 * Television Ad + 1.3011 * Newspaper Ad
c)
Television Ad = 3500 = 3.5 ($1000s) and Newspaper Ad = 1800 = 1.8 ($1000s)
Revenue = 83.2301 + 2.2902 * 3.5 + 1.3011 * 1.8
Revenue = 83.2301 + 8.0157 + 2.3421
Revenue = 93.5879 ($1000s)
Question 1The owner of Showtime Movie Theaters, Inc. would like to predict weekly gross revenue as...
Question 1The owner of Showtime Movie Theaters, Inc. would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. (6 points) Weekly Gross Revenue Newspaper Advertising Advertising ($1000s) Televison ($1000s) (s1000s) 96 5.0 1.5 2.0 2.0 90 95 4.0 1.5 92 2.5 2.5 3.3 95 3.0 3.5 2.3 94 2.5 4.2 94 94 3.0 2.5 Question 2: In Question 1, the owner of Showtime Movie Theaters, Inc. used multiple...
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) Weekly Gross Televison Newspaper Advertising (S1000s) Advertising (S1000s) Revenue ($1000s) 96 5 2.5 91 2 3 95 2.5 93 3.5 2.5 95 4 4.3 95 4.5 2.3 94 3.5 4.2 94 4 3.5 86.3+1.611 0.48a The estimated regression equation was =16.875, SSR 16.01 The computer solution provided SST a. Compute R (to 3...
The following data describes weekly gross revenue, television advertising, and newspaper advertising for Showtime Movie Theaters. Weekly Gross Televison Newspaper Advertising Advertising Revenue ($1000s) ($1000s) ($1000s) 1.5 2 1.5 2.5 3.3 2.3 90 2 4 2.5 92 95 94 94 94 3.5 2.5 2.5 a. Find an estimated regression equation relating weekly gross revenue to television advertising expenditures and newspaper advertising expenditures (to 2 decimals) Revenue = 83.78 1.78 TVAdv + | 1.47 NewsAdv
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks are entered into the Microsoft Excel Online file below. Use the XLMiner Analysis ToolPak to perform your regression analysis in the designated areas of the spreadsheet Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). Revenue = + TVAdv b....
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks are entered into the Microsoft Excel Online file below. Use the XLMiner Analysis ToolPak to perform your regression analysis in the designated areas of the spreadsheet. Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). Revenue = TVAdv b. Develop...
2. The owner of Showtime Movie Theaters would like to estimate weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks are as below: TV Advertising $1000s 5.0 2.0 4.0 2.5 3.0 3.5 2.5 3.0 Week Weekly gross revenue $1000s 96 90 95 92 95 94 94 94 Newspaper Advertising $1000s 2.0 2.5 3.3 2.3 4.2 2.5 4 6 Following are the regression results for the data using Excel. In this problem, you...
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Weekly Gross Televison Newspaper Advertising ($1000s) Advertising ($1000s) Revenue ($1000s) 97 5 1.5 2 06 96 4 2.5 93 3.5 2.5 96 4 3.3 94 3.5 3.3 94 2.5 5.2 95 4 2,5 a. Use o 0.01 to test the hypotheses H8 and/or B is not equal to zero for the...
The owner of Showtime Movie Theaters, Inc, would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow Weekly Gross Televison Newspaper Advertising Advertising Revenue ($1000s) ($1000s) ($1000s) 96 5 1.5 91 3 96 5 2.5 92 2.5 2.5 95 3 4.3 95 3.5 3.3 94 2,5 4.2 94 3 3.5 a. Use o0.01 to test the hypotheses Ho BB0 H A and/or Bis not equal to zero for...
please help! nework The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow Televison Weekly Gross Newspaper Advertising Reyenue Advertising ($1000s) ($1000s) ($1000s) 97 1.5 91 2.5 92 2.5 2.5 06 3.3 4. 94 3.5 2.3 2.5 5.2 95 4 2.5 a. Use a 0.01 to test the hypotheses H,:6 and/or B is not equal to zero for the model 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...