\begin{tabular}{cccc} Month & Labor-Hours & Maching Hours & Overhad Costs \\ \hline 1 & 720 & 1,346 & 102,659 \\ \hline 2 & 720 & 1,411 & 103,787 \\ \hline 3 & 675 & 1,513 & 109,919 \\ 4 & 745 & 1,456 & 108,267 \\ \hline 5 & 775 & 1,585 & 116.189 \\ \hline 6 & 760 & 1,577 & 114,502 \\ \hline 7 & 745 & 1,383 & 107,029 \\ \hline 8 & 725 & 1,305 & 102,188 \\ \hline 9 & 705 & 1,455 & 106,338 \\ \hline 10 & 790 & 1,552 & 113,038 \\ \hline 12 & 680 & 1,290 & 100,165 \\ & 710 & 1,612 & 113,045 \\ \hline \end{tabular} 5-39 (Algorithmic Version). Adriana Corporation manufactures football equipment. In planning for next year, the managers want to understand the relation between activity and overhead costs. Discussions with the plant supervisor suggest that overhead seems to vary with labor-hours, machine-hours, or both. The following data were collected from last year's operations. Download the raw data from Blackboard and perform the requested regression analyses. Round the coefficients to two decimal places. Question 9: Based on machine-hours, develop a simple regression model. Estimate overhead if the company expects the plant to operate at a monthly average of 9,000 machine-hours next year. Question 10: Based on labor-hours, develop a simple regression model. Estimate overhead if the company expects the plant to operate at a monthly average of 3,000 labor-hours next year. Question 11: Based on both machine-hours labor-hours, develop a multiple regression model. Estimate overhead if the company expects the plant to operate at a monthly average of 9,000 machine hours and 3,000 labch-hours next year