Use the following regression equation and alpha =0.05 to fill in the missing values and answer the following questions.
What percent of the variation is explained by the regression equation?
What is the standard error of regression?
What is the critical value of the F-statistic?
What sample size is used in the print out?
What is the variance of the slope coefficient of income?
Conduct a global test of hypothesis to determine if any of the regression coefficients are not zero.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.910670783
R Square
0.829321275
Adjusted R Square
0.819839124
Standard Error
___________
Observations
ANOVA
df
SS
MS
F
Significance F
Regression
1
6016.725851
_________
87.46129882
2.47832E-08
Residual
18
Total
______
7255
Coefficients
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
13.91891892
4.916351942
2.831147787
0.011071519
3.590046767
24.24779107
X(Weekly Income)
0.076378621
0.008167024
0.059220339
0.093536902
__________
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