Multiple R 0.540607 R Square 0.70662 0.674023 Adjusted R Square Standard Error 7.59592 Observation 5 21 ANOV A Significance F df SS MS F 2 2501.436 1250.718 21.67697 1.61E-05 Regression Residual 18 1038.564 57.69801 Tota! 20 3540 Standard Error Coefficients t Star p-value Lower 95% Upper 9596 Lower 95.0% Upper 95.0% - 11.6085 6.777136 -1.71289 0.103904 1.110313 0.620787 1.788557 0.09053 -25.84675 2.629718318 -0.193912 2.41453895 -25.846749 -0.19391201 Intercept Experience (years) Education (years) 2.629718318 2.41453895 2.220497 0.64597 3.437463 0.002937 0.8633647 3.577628803 0.863364747 3.577628803 Answer the following questions based on the regression results: A. Write the equation of the regression line B. Interpret the coefficient of determination of the regression model? C. Comment on the relationship between the dependent variable and each of the predictors. D. Comment on the overall significance of the model. E. Evaluate the significance of each of the predictor at 5% level F. From the table above which predicators are statistically significant at 597 (evaluating individual regression coefficients)