QUESTION 4 Regression Statistics Multiple R 0.957 R Square 0.916 Adjusted R Square 0.905 Standard Error 63.913 Observations 10 ANOVA df SS MS F Significance F 0.000014 1 355241 86.966 Regression Residual Total 355240.9573 32678.64266 8 4084.83 9 387919.6 Standard Error t Stat Coefficients 453.959 89.622 5.065 Intercept IRAS, X P-value 0.001 0.000014 0.140 0.015 9.326 What amount of variance in Federal DB plans can be explained by IRAs for this sample? QUESTION 5 The table shows the output of simple linear regression of total assets (in billion of dollars) of individual retirement accounts (IRAS) and federal defined benefit (DB) plans for ten years. The researcher wants to predict Federal DB plans (y) using IRAS (X). Use the output below to answer the following questions. Regression Statistics Multiple R 0.957 R Square 0.916 Adjusted R Square 0.905 Standard Error 63.913 Observations 10 ANOVA df SS MS F Significance F 0.000014 1 355240.9573 355241 86.966 Regression Residual Total 8 32678.64266 4084.83 9 387919.6 Standard Error Intercept Coefficients 453.959 0.140 89.622 0.015 t Stat P-value 5.065 0.001 9.326 0.000014 IRAS, X 1. Indicate which variable is the dependent and which is the independent variable