Use the following regression equation and a = 0.05 to fill in the missing values and answer the following questions. 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 0.093536902a) What percent of the variation is |b) What is the standard error of regression? explained by the regression equation? What is the critical value of the F- c) d) What sample size is used in the print out? statistic? e) What is the variance of the slope coefficient of income?e) What is the variance of the slope coefficient of income? f) Conduct a global test of hypothesis to determine if any of the regression coefficients are not zero.3) Conduct a test of hypothesis that the independent variable is relevant. H1]: 31:0, Ha: B19E0,-:1=.05