In: Economics
Dixie Showtime Movie Theaters, Inc., owns and operates a chain of cinemas in several markets in the southern U.S. The owners would like to estimate weekly gross revenue as a function of advertising expenditures. Data for a sample of eight markets for a recent week follow.
|
Market |
Weekly Gross Revenue ($100s) |
Television Advertising ($100s) |
Newspaper Advertising ($100s) |
|
| Mobile | 102.3 | 5.0 | 1.6 | |
| Shreveport | 51.9 | 3.0 | 3.2 | |
| Jackson | 75.5 | 4.0 | 1.5 | |
| Birmingham | 127.2 | 4.4 | 4.0 | |
| Little Rock | 137.8 | 3.6 | 4.3 | |
| Biloxi | 101.4 | 3.5 | 2.3 | |
| New Orleans | 237.8 | 5.0 | 8.4 | |
| Baton Rouge | 219.6 | 6.9 | 5.8 | |
| (a) | Use the data to develop an estimated regression equation with the amount of television advertising as the independent variable. |
| Let x represent the amount of television advertising. | |
| If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) | |
| = + x | |
| Test for a significant relationship between television advertising and weekly gross revenue at the 0.05 level of significance. What is the interpretation of this relationship? | |
| The input in the box below will not be graded, but may be reviewed and considered by your instructor. | |
| (b) | How much of the variation in the sample values of weekly gross revenue does the model in part (a) explain? |
| If required, round your answer to two decimal places. | |
| % | |
| (c) | Use the data to develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables. |
| Let x1 represent the amount of television advertising. | |
| Let x2 represent the amount of newspaper advertising. | |
| If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) | |
| = + x1 + x2 | |
| Test whether each of the regression parameters β0, β1, and β2 is equal to zero at a 0.05 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? | |
| The input in the box below will not be graded, but may be reviewed and considered by your instructor. | |
| (d) | How much of the variation in the sample values of weekly gross revenue does the model in part (c) explain? |
| If required, round your answer to two decimal places. | |
| % |