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...


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




Standard Error




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



3.590046767



24.24779107



X(Weekly Income)



0.076378621



0.008167024



___________



2.47832E-08



0.059220339



0.093536902



__________



__________




Jun 07, 2022
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