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URLU OSAM MOVIB I ers, Inc., would be to predict weekly gross revenue as a function of advertising expenditures. Historical d


Homework H: B = B2 = 0 H: Band/or By is not equal to zero for the model y = Bo + B12. + B2:13 +e, where 31 television adverti
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Answer #1
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  

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