SUMMARY OUTPUT Regression Statistics Multiple R 0.4916 R Square 0.2417 Adjusted R Squar 0.2194 Standard Error 0.0435 Observations 36 ANOVA F 10.8374 Significance F 0.0023 Regression Residual Total df 1 34 35 MS 0.0205 0.0019 SS 0.0205 0.0643 0.0848 Intercept SPY = Market Coefficients 0.0073 0.4510 Standard Error 0.0075 0.1370 t Stat 0.9841 3.2920 P-value 0.3320 0.0023 Lower 95% -0.0078 0.1726 R(WMT) = Intercept +BwMT * R (Market) + ei 9. Based on the table above regression results for WMT, what is WMT's Beta? A. 0.0023 B. 0.0073 C. 0.2417 D. 0.3320 E. 0.4510 10. Based on the table above regression results for WMT, how good does the model predict WMT performance? A. Market Returns will predict 0.23% of WMT's performance B. Market Returns will predict 0.73% of WMT's performance C. Market Returns will predict 24.17% of WMT's performance D. Market Returns will predict 33.20% of WMT's performance E. Market Returns will predict 45.10% of WMT's performance SUMMARY OUTPUT Regression Statistics Multiple R 0.4916 R Square 0.2417 Adjusted R Squar 0.2194 Standard Error 0.0435 Observations 36 ANOVA F 10.8374 Significance F 0.0023 Regression Residual Total df 1 34 35 MS 0.0205 0.0019 SS 0.0205 0.0643 0.0848 Intercept SPY = Market Coefficients 0.0073 0.4510 Standard Error 0.0075 0.1370 t Stat 0.9841 3.2920 P-value 0.3320 0.0023 Lower 95% -0.0078 0.1726 R(WMT) = Intercept +BwMT * R (Market) + ei 9. Based on the table above regression results for WMT, what is WMT's Beta? A. 0.0023 B. 0.0073 C. 0.2417 D. 0.3320 E. 0.4510 10. Based on the table above regression results for WMT, how good does the model predict WMT performance? A. Market Returns will predict 0.23% of WMT's performance B. Market Returns will predict 0.73% of WMT's performance C. Market Returns will predict 24.17% of WMT's performance D. Market Returns will predict 33.20% of WMT's performance E. Market Returns will predict 45.10% of WMT's performance