1. Annual Income is thought to be related to education, age and the number of children. Using the EXCEL output below, Regression Statistics Multiple R 0.658387462 R Square 0.43347405 Adjusted R Square 0.409620325 Standard Error 2.909780022 Observations 100 Significance df SS MS F F Regression 4 615.442121 153.86053 18.1721749 4.0944E-11 Residual 95 804.347879 8.46681978 Total 99 1419.79 Standard Coefficients Error t Stat P-value Intercept 11.90609377 1.78519673 6.66934548 1.6926E-09 Education -0.430018471 0.13207193 3.25594155 0.00156711 Age 0.029189885 0.02522767 1.15705824 0.25014965 Children 0.093435096 0.22431338 0.41653822 0.67795583 a) Construct the equation of the regression line. b) Assess the fit of the model using R? c) Assess the validity of the model. d) Conduct Hypothesis Testing for each variable. What is the meaning for Ho and H1? Describe your conclusion in sentence form.