Homework Answers
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.994538 | |||||||
| R Square | 0.989107 | |||||||
| Adjusted R Square | 0.984749 | |||||||
| Standard Error | 0.195262 | |||||||
| Observations | 8 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 2 | 17.30936 | 8.654682 | 227.00 | 1.24E-05 | |||
| Residual | 5 | 0.190635 | 0.038127 | |||||
| Total | 7 | 17.5 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 86.29461 | 0.399334 | 216.0965 | 4.03E-11 | 85.26809 | 87.32113 | 85.26809 | 87.32113 |
| x1 | 1.109801 | 0.057205 | 19.40048 | 6.71E-06 | 0.962751 | 1.25685 | 0.962751 | 1.25685 |
| x2 | 1.20138 | 0.089097 | 13.48397 | 4.02E-05 | 0.972349 | 1.43041 | 0.972349 | 1.43041 |
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weeks follow. Televison Weekly Gross Newspaper Advertising Advertising Revenue ($1000s) ($1000s) ($1000s)...
Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 96 5 2.5 91 2 2...
Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 96 5 2.5 91 2 2 96 4 2.5 92 2.5 3.5 95 4 4.3 94 3.5 2.3 94 3.5 4.2 95 4 3.5 Use = .01 to test the hypotheses for the model y = 0 + 1x1 + 2x2 + , where 1)computer the F test statistic (to 2 decimals) ____ . What is P value what is conclusion 2)Use = .05 to test the significance of 1....
please help! nework The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a fu...
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...
G H I J K L M N O Weekly Gross Revenue (1000s) Television Advertising ($1000s)...
G H I J K L M N O Weekly Gross Revenue (1000s) Television Advertising ($1000s) Newspaper Advertising ($1000s) SUMMARY OUTPUT 96 1.5 1.5 92 2.5 25 DO VOU AWN 3.3 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.976822037 0.954181292 0.935853809 0.514395797 23 ma 42 2.5 ANOVA df Predicted Revenue 97.8529365 SS MS Significance F 2 27.55198482 13.77599 52.06287 0.000449 5 1.323015179 0.264603 28.875 5 Regression Residual Total 3.7 7 Coefficients Standard Error Stat P-value...
Television Advertising ($1000s) Weekly Gross Revenue (1000s) 96 Newspaper Advertising ($1000s) 1 1.5 Moon 2.5 3.3...
Television Advertising ($1000s) Weekly Gross Revenue (1000s) 96 Newspaper Advertising ($1000s) 1 1.5 Moon 2.5 3.3 3.5 2 2.3 4.2 2.5 Predicted Revenue 5.3 3.6 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 has been collected in the Microsoft Excel Online file below. Open the spreadsheet and perform the required analysis to answer the questions below. X Open spreadsheet...
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a...
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 has been collected in the Microsoft Excel Online file below. Open the spreadsheet and perform the required analysis to answer the questions below. Open spreadsheet a. Use a = .01 to test the hypotheses for the model y = Bo + 1101 + $2@2 + E, where: Ho: B1 = B2...
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a...
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 fol low. Weekly Gross Televison Newspaper Advertising Advertising Revenue ($1000s) ($1000s) ($1000s) 96 6 2.5 91 2 2 95 5 2.5 93 3.5 2.5 95 3 4.3 95 4.5 3.3 94 2.5 4.2 95 4 3.5 a. Use a 0.01 to test the hypotheses Но : 81 3 В2 —0 Ha 81...
function of advertising expenditures. Historical data for a sample of eight we oss revenue as a Weekly Gross Telev...
function of advertising expenditures. Historical data for a sample of eight we oss revenue as a Weekly Gross Televison Newspaper Advertising Revenue Advertising ($1000s) ($1000s) ($1000s) 96 6 2.5 90 2 2 95 5 2.5 92 2.5 2.5 95 4 3.3 95 4.5 2.3 95 3.5 4.2 3.5 94 3 istic (to 2 decimals). Use t table. 7 Homework a. Use a 0.01 to test the hypotheses Ho Pr 0 Ha B and/or B2 is not equal to zero for...
URLU OSAM MOVIB I ers, Inc., would be to predict weekly gross revenue as a function...
URLU OSAM MOVIB I ers, Inc., would be to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight was follow Weekly Gross Revenue ($10003) Televison Advertising ($1000s) Newspaper Advertising ($1000s) a. Use 0.01 to test the hypotheses M: B = 0 H, and/or By is not equal to zero for the model y-Bo +1+By+2+ television advertising ($1000s) # newspaper advertising ($1000s) Compute the F test statistic (to 2 decimals). Use Fal What...
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a...
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 Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) a. Use a = 0.01 to test the hypotheses H: Bi = B2 = 0 H :8, and/or B, is not equal to zero for the model y = Bo + B1X1 + B229 + E, where *1 = television advertising...
mework The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as...
mework 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 Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) ة مية مية مية مية a. Use a 0.01 to test the hypotheses Ho : B1 = B = 0 H, B, and/or B, is not equal to zero for the model y Bo + B + Byt + e,...
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...
G H I J K L M N O Weekly Gross Revenue (1000s) Television Advertising ($1000s) Newspaper Advertising ($1000s) SUMMARY OUTPUT 96 1.5 1.5 92 2.5 25 DO VOU AWN 3.3 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.976822037 0.954181292 0.935853809 0.514395797 23 ma 42 2.5 ANOVA df Predicted Revenue 97.8529365 SS MS Significance F 2 27.55198482 13.77599 52.06287 0.000449 5 1.323015179 0.264603 28.875 5 Regression Residual Total 3.7 7 Coefficients Standard Error Stat P-value...
Television Advertising ($1000s) Weekly Gross Revenue (1000s) 96 Newspaper Advertising ($1000s) 1 1.5 Moon 2.5 3.3 3.5 2 2.3 4.2 2.5 Predicted Revenue 5.3 3.6 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 has been collected in the Microsoft Excel Online file below. Open the spreadsheet and perform the required analysis to answer the questions below. X Open spreadsheet...
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 has been collected in the Microsoft Excel Online file below. Open the spreadsheet and perform the required analysis to answer the questions below. Open spreadsheet a. Use a = .01 to test the hypotheses for the model y = Bo + 1101 + $2@2 + E, where: Ho: B1 = B2...
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 fol low. Weekly Gross Televison Newspaper Advertising Advertising Revenue ($1000s) ($1000s) ($1000s) 96 6 2.5 91 2 2 95 5 2.5 93 3.5 2.5 95 3 4.3 95 4.5 3.3 94 2.5 4.2 95 4 3.5 a. Use a 0.01 to test the hypotheses Но : 81 3 В2 —0 Ha 81...
function of advertising expenditures. Historical data for a sample of eight we oss revenue as a Weekly Gross Televison Newspaper Advertising Revenue Advertising ($1000s) ($1000s) ($1000s) 96 6 2.5 90 2 2 95 5 2.5 92 2.5 2.5 95 4 3.3 95 4.5 2.3 95 3.5 4.2 3.5 94 3 istic (to 2 decimals). Use t table. 7 Homework a. Use a 0.01 to test the hypotheses Ho Pr 0 Ha B and/or B2 is not equal to zero for...
URLU OSAM MOVIB I ers, Inc., would be to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight was follow Weekly Gross Revenue ($10003) Televison Advertising ($1000s) Newspaper Advertising ($1000s) a. Use 0.01 to test the hypotheses M: B = 0 H, and/or By is not equal to zero for the model y-Bo +1+By+2+ television advertising ($1000s) # newspaper advertising ($1000s) Compute the F test statistic (to 2 decimals). Use Fal What...
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 Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) a. Use a = 0.01 to test the hypotheses H: Bi = B2 = 0 H :8, and/or B, is not equal to zero for the model y = Bo + B1X1 + B229 + E, where *1 = television advertising...
mework 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 Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) ة مية مية مية مية a. Use a 0.01 to test the hypotheses Ho : B1 = B = 0 H, B, and/or B, is not equal to zero for the model y Bo + B + Byt + e,...
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