12.50 In the following regression, x=total assets ($ billions), Y =total revenue

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12.50 In the following regression, x=total assets ($ billions), Y =total revenue ($billions), and n=64 large banks. a)Write the fitted regression equation. b) State the degrees of freedom for a two tailed test for zeroslope, and use appendix D to find the critical value at a=.05 c) What is your conclusion about the slope? d) Interpret the 95% onfidence limits for the slope e)Verify that F=t^2 for the slope f) Describe the fit of this regression    R2         0.519 Std error   6.977 n                  64 Anova Table Source            SS                  df            MS               F                  p-Value Regression    3260.0981         1        3260.0981       66.97           1.90E-11 Residual         3018.3339         62      48.6828             Total              6278.4321         63       RegressionOutput                                                                                          ConfidenceInterval Variables          Coeffecients        stderror        t(df=62)        p-value         95%lower         95%upper Intercept         6.5763                  1.9254            3.416            .0011           2.7275                10.4252 x1                    .0452                     0.0055          8.183         1.90E-11         0.6342                  0.0563 12.50 In the following regression, x=total assets ($ billions), Y =total revenue ($billions), and n=64 large banks. a)Write the fitted regression equation. b) State the degrees of freedom for a two tailed test for zeroslope, and use appendix D to find the critical value at a=.05 c) What is your conclusion about the slope? d) Interpret the 95% onfidence limits for the slope e)Verify that F=t^2 for the slope f) Describe the fit of this regression    R2         0.519 Std error   6.977 n                  64 Anova Table Source            SS                  df            MS               F                  p-Value Regression    3260.0981         1        3260.0981       66.97           1.90E-11 Residual         3018.3339         62      48.6828             Total              6278.4321         63       RegressionOutput                                                                                          ConfidenceInterval Variables          Coeffecients        stderror        t(df=62)        p-value         95%lower         95%upper Intercept         6.5763                  1.9254            3.416            .0011           2.7275                10.4252 x1                    .0452                     0.0055          8.183         1.90E-11         0.6342                  0.0563

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