Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hou The output of a regression analysis showed the following information (note: only a portion of the 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 firm uses 6,000 machine hours? A. $14,729,732.60 B. $1,365.59 C. $7,257.49 D. $6,538,90 \begin{tabular}{|lr} \hline \multicolumn{2}{c}{ Kegression staustics } \\ \hline Multiple R & 0.991108748 \\ R Square & 0.982296551 \\ Adjusted R & 0.977870689 \\ Square & 67.58593536 \\ Standard Error & 6 \\ Observations & \\ \hline \end{tabular} ANOVA \begin{tabular}{llrrrr} \hline & Coefficients & Standard Error & t Stat & P-value & Lower 95% \\ \hline Intercept & 2945.94652 & 194.105844 & 15.17701095 & 0.000109885 & 2407.022299 \end{tabular} \begin{tabular}{lrrrrr} \hline & Coefficients & Standard Error & tStat & P-valho & Lower 95\% \\ \hline Intercept & 2945.94652 & 194.105844 & 15.17701095 & 0.000109885 & 2407.022299 \\ X Variable 1 & 0.718590832 & 0.04823467 & 14.89780767 & 0.00011823 & 0.584669919 \\ \hline \end{tabular}