Regression Statistics Multiple R 0.92 R Square 0.85 Adjusted R Square 0.84 Standard Error 0.01 Observations 24 ANOVA df SS MS F Significance F Regression 1 0.03 0.03 122.69 0.00 Residual 22 0.00 0.00 Total 23 0.03 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 0.00 0.00 0.37 0.72 -0.01 0.01 -0.01 0.01 ABC Excess Returns 0.46 0.04 11.08 0.00 0.37 0.54 0.37 0.54 Select the appropriate model based on the regression analysis result. Group of answer choices Y = 0.46 0.04*ABC Excess Returns Y = 0.00 0.00*ABC Excess Returns Y = 0.00 0.46*ABC Excess Returns Y = 0.00 11.08*ABC Excess Returns Y = 0.37 0.00*ABC Excess Returns