SUMMARY OUTPUT Regression Statistics Multiple R 0.991108748 R Square 0.982296551 Adjusted R Square 0.977870689 Standard Error 67.58593536 Observations ANOVA df F Significance F 0.00011823 Regression Residual Total SS MS 1013811.8991013811.899 221.9446735 18271.43463 4567.858659 1032083.333 4 Intercept X Variable 1 Coefficients 2945.94652 0.718590832 Standard Error 194.105844 0.04823467 t Stat 15.17701095 14.89780767 P-value 0.000109885 0.00011823 Lower 95% 2407.022299 0.584669919 Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here): E: (Click the icon to view the portion of the regression analysis.) What is closest to the total cost if the firm uses 4,200 machine hours? O A. $12,372,975.38 OB. $2,945.95 OC. $3,018.08 OD. $5,964.03