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) EEB (Click the icon to view the portion of the regression analysis.) What is closest to the total cost if the firm uses 6,000 machine hours? O A. $14,729,732.60 O B. $1,365.59 O C. $6,538.90 O D. $7,257.49 SUMMARY OUTPUT Regression Statistics 0.991108748 0.982296551 Multiple R R Square Adjusted R Square Standard Error Observations 0.977870689 67.58593536 ANOVA df MS SignificanceF Regression Residual Total 1 1013811.899 1013811.899 221.9446735 0.00011823 4 18271.43463 4567.858659 5 1032083 333 P-value Lower 95% Coefficients Standard Errort Stat 2945.94652194.105844 15.17701095 0.000109885 2407 022299 Intercept