SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.993699 | |||||||
R Square | 0.987438 | |||||||
Adjusted R Square | 0.982413 | |||||||
Standard Error | 0.232417 | |||||||
Observations | 8 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 2 | 21.22991 | 10.61496 | 196.5087 | 1.77E-05 | |||
Residual | 5 | 0.270089 | 0.054018 | |||||
Total | 7 | 21.5 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 85.42803 | 0.537028 | 159.0755 | 1.86E-10 | 84.04756 | 86.8085 | 84.04756 | 86.8085 |
x1 | 1.642778 | 0.0836 | 19.65049 | 6.3E-06 | 1.427877 | 1.857678 | 1.427877 | 1.857678 |
x2 | 1.067201 | 0.100127 | 10.65843 | 0.000126 | 0.809815 | 1.324586 | 0.809815 | 1.324586 |
a)
F=196.51
p value <0.01
model is significant
b)
t stat =19.65
p value <0.01
conclusion:ß 1 is significant
No,it should not dropped
c)
t stat=10.66
p value <0.01
conclusion:ß2 is significant
No,it should not dropped
URLU OSAM MOVIB I ers, Inc., would be to predict weekly gross revenue as a function...
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) un NW w in ini in in a. Use a = 0.01 to test the hypotheses H: Bi = B2 = 0 H: B, and/or B2 is not equal to zero for the model y = Bo + B121 + B222...
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...
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) N N M ini a. Use a = 0.01 to test the hypotheses H: Bi = B2 = 0 H: B, and/or B2 is not equal to zero for the model y = Bo + B121 + B212 + E, where...
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...
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...
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: B1 = By = 0 H : 81 and/or Ba is not equal to zero for the model y = 0o + 1x1 + 02.02 + E, where 21 = television...
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 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...