Summary Output Dependent Variable: Daily Revenue ($) Regression Statistics Multiple R 0.9637 R Square 0.9287 Adjusted R Square 0.9225 Standard Error 8,312.61 Observations 39 ANOVA df SS MS F Significance F Regression 3 3.15E+10 1.05E+10 151.85 0.0000 Residual 35 2.42E+09 6.91E+07 Total 38 3.39E+10 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept -59,898.83 8,697.28 -6.89 0.0000 -77,555.24 -42,242.42 Number of Female Visitors 29.34 7.87 3.73 0.0007 13.37 45.30 Number of Retail Stands 2,298.36 276.72 8.31 0.0000 1,736.59 2,860.13 Number of Food Stands 2,826.31 866.52 3.26 0.0025 1,067.19 4,585.44 If the street fair organizer wanted to compare the explanatory power of the original model and the following new regression model, which value should he consult for the new model? A.0 0.9637 B.0 0.9287 C.0 0.9225 D.0 0.0025