f. Estimate Bartman's and Reynolds' betas by running regressions of their returns against th returns. (Hint: Refer to Web Appendix 8A.) Are these betas consistent with your graph? Regression and then follow the menu. We first calculate Bartman's beta, then Reynolds'. Bartman's Calculations SUMMARY OUTPUT Bartman's beta = 1.54 Regression Statistics Multiple R 0.67547 R Square 0.45626 Adjusted R Square 0.27502 Standard Error 0.26812 Observations 5 ANOVA Significance df SS MS F F Regression 0.18097 0.18097 2.51737 0.21079 Residual AWH 0.21567 0.07189 Total 0.39664 Coefficient Standard S Error t Stat P-value Lower 95% Upper 95% Intercept -0.02203 0.23270 -0.09466 0.93055 -0.76259 0.71853