Red Corp. 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): SUMMARY OUTPUT Regression Statistics Multiple R 0.991108748 R Square 0.982296551 Adjusted R Square 0.977870689 Standard Error 67.58593536 Observations 6 ANOVA Significance F 0.00011823 Regression Residual Total SS MS 1013811.8991013811.899 221.9446735 18271.43463 4567 858659 1032083.333 4 5 Coefficients Standard Error Stat P-value Intercept 2945.94652 194.105844 15.17701095 0,000109885 X Variable 1 0.718590832 0.04823467 14.89780767 0.00011823 The total cost, if the firm uses 6,000 machine hours, is closest to... Lower 95% 2407022299 0.584669919 ERRO A. $1,365.59 Question Viewer B. $7.257.49 C. $6,538.90 D. $14,729,732.60