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. Compute the t test statistic (to 2 decimals) _____.
What is P value
what is conclusion
Should x 1 be dropped from the model?
3)Use = .05 to test the significance of 2. Compute the t test statistic (to 2 decimals
What is P value
what is conclusion
Should x 1 be dropped from the model?
applying regression:
1)
F test statistic =28.65
P value =0.0018
Conclusion:regression is significant
2) t test statistic =7.48
p value =0.0007
Conclusion: X1 is significant
No x1 should not be dropped from the model
3)
t test statistic =0.10
p value =0.9266
Conclusion: X2 is not significant
x2 should be dropped from the model
Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 96 5 2.5 91 2 2...
are these answers correct? weeks follow. Televison Weekly Gross Newspaper Advertising Advertising Revenue ($1000s) ($1000s) ($1000s) 96 2.5 91 2 22 95 2.5 93 3.5 2.5 95 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 : В 3 В2 3 0 Ha : B1 and/or B2 is not equal to zero for the model y = Bo +B1xi t P2x2 +e, where X1 = television advertising ($1000s) 2...
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...
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...
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...
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 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...
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...
The owner of Showtime Movie Theaters, tInc., 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 fo+ +P2 t, where: Ho: -2-0 Hai 1 and/or h #0 Compute the F...
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...