SUMMARY OUTPUT Regression Statistics Multiple R 0.4916 R Square 0.2417 Adjusted RSqua 0.2194 Standard Error 0.0435 Observations 36 ANOVA F 10.8374 Significance 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 Star 0.9841 3.2920 P-value 0.3320 0.0023 Lower 95% -0.0078 0.1726 R(WMT) = Intercept + BwMr R(Market) + e/ 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