In: Statistics and Probability
A statistical program is recommended.
The owner of a movie theater company would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow.
| Weekly Gross Revenue ($1,000s)  | 
Television Advertising ($1,000s)  | 
Newspaper Advertising ($1,000s)  | 
|---|---|---|
| 96 | 5 | 1.5 | 
| 91 | 2 | 2 | 
| 95 | 4 | 1.5 | 
| 93 | 2.5 | 2.5 | 
| 95 | 3 | 3.2 | 
| 94 | 3.5 | 2.2 | 
| 94 | 2.5 | 4.1 | 
| 94 | 3 | 2.5 | 
(a) Use α = 0.01 to test the hypotheses
| H0: | β1 = β2 = 0 | 
| Ha: | β1 and/or β2 is not equal to zero | 
for the model y = β0 + β1x1 + β2x2 + ε, where
| x1 | = | television advertising ($1,000s) | 
| x2 | = | newspaper advertising ($1,000s). | 
Find the value of the test statistic. (Round your answer to two decimal places.)
Use α = 0.05 to test the significance of β1.
Find the value of the test statistic. (Round your answer to two decimal places.)
Use α = 0.05 to test the significance of β2.
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
Sol:
Perform multiple regression in excel
Data >Data analysis>Regresssion

select Y as Gross revenue
Television Ad and newspaper ad as X
we get
| SUMMARY OUTPUT | ||||||
| Regression Statistics | ||||||
| Multiple R | 0.960859 | |||||
| R Square | 0.92325 | |||||
| Adjusted R Square | 0.89255 | |||||
| Standard Error | 0.495581 | |||||
| Observations | 8 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 2 | 14.772 | 7.385998 | 30.07316 | 0.001632 | |
| Residual | 5 | 1.228005 | 0.245601 | |||
| Total | 7 | 16 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 85.72849 | 1.246164 | 68.79391 | 1.23E-08 | 82.52512 | 88.93185 | 
| Television Advertising | 1.831811 | 0.237159 | 7.723992 | 0.000581 | 1.222175 | 2.441446 | 
| Newspaper | 0.997997 | 0.260566 | 3.830115 | 0.012246 | 0.328191 | 1.667802 | 
(a) Use α = 0.01 to test the hypotheses
| H0: | β1 = β2 = 0 | 
| Ha: | β1 and/or β2 is not equal to zero | 
for the model y = β0 + β1x1 + β2x2 + ε, where
| x1 | = | television advertising ($1,000s) | 
| x2 | = | newspaper advertising ($1,000s). | 
Find the value of the test statistic. (Round your answer to two decimal places.)
F=30.07
p=0.002
Find the value of the test statistic. (Round your answer to two decimal places.)
Use α = 0.05 to test the significance of β1.
t=7.72
p=0.001
Find the value of the test statistic. (Round your answer to two decimal places.)
Use α = 0.05 to test the significance of β2.
t=3.83
p=0.012
p-value =