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The results of the regression analysis to estimate setup costs using the number of setups and number of setup hours as activity cost drivers are

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The results of the regression analysis to estimate setup costs using the number of setups and number of setup hours as activity cost drivers are as follows: SUMMARY OUTPUT Regression Statistics Multiple R Square 1747.948 Observations 0.9706 0.9421 Standard Error 12 ANOVA Significance F 49 379 3 SS MOS 397557422 1325191407 2444257797 3055322 25 422000000 Repression Residus Tots 0.00003 11 Standard Error Coefficients Intercept 11168.151 DLH 6.155 STS 0216 PL 92.169 DLH - Direct Labor Hour STS - Square meter of turf seeded PL. Planting 7391,604 1.809 0.120 23.526 Stot 1514 3.402 1.684 1367 P-value 0.169 0.009 0131 0.209 Lower 95% -10221 329 0.915 -0.155 -35 973 Upper 95 52597 63 11.395 0.587 100.312 Based on the multiple regression analysis output, what is the estimated cost function? A. Total overhead = $11,188.15+ ($6.16 x DLH) + ($0.22 x STS) + ($32.17 X PL) B. Total overhead = $11,188.15 + ($6.16 x DLH) + ($0.22 x STS) C. Total overhead= $11,188.15 + ($6.16 x DLH) D. Total overhead = $11,188.15

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