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 thes regression analysis results is presented here) (Click the icon to view the portion of the regression analysis) What is closest to the total cost if the fm uses 6,000 machine hours? OA $1.365 50 OB. 56.638.00 OC. $7,257 49 O D. $14.729,732.60 3 of 40 (3 complete) Data Table SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.991108748 0.982296551 0.977870689 67.58593536 Observations ANOVA Significance F 0.00011823 df SS 1013811.899 1013811.899 221.9446735 18271.43463 4567.858659 1032083 333 MS Regression Residual Total 1 4 5 Coefficients 2945 94652 0.718590832 Lower 95% 2407.022299 0.584669919 Standard Error 194.105844 15.17701095 0.000109885 0.04823467 14.89780767 P-value t Stat Intercept X Variable 1 0.00011823 Print Done MacBook Pro DII F4 DD F5 F6 F7 FB F9 $ & 4 LO