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ersity The following excel printout provides information to estimate overhead costs using linear regression: Standard Error t Stat Coefficients 6035.987027 Upper 95% 9289 88697

 

ersity The following excel printout provides information to estimate overhead costs using linear regression: Standard Error t Stat Coefficients 6035.987027 Upper 95% 9289 88697 1411.05464 P-value Lower 95% 4.277642 0.002696 2782.0871 2.831912 0.022085 0.846543 Intercept DLH 4.558482698 1.609683731 8.27042244 771.1028938 # setups #moves 54.93418317 14.03685 6.44E-07 644.42436 2.874675342 10.41548 6.26E-06 23.312095 897.781429 36.5701299 29.9411124 Regression Statistics Multiple R 0.996584412 R Square 0.99318049 Adjusted R Square 0.990623174 Standard Error 347.9563597 Observations 12 a. Write the multiple regression model (round to nearest cent). Answer: b. What is the estimate of overhead if the department has 1,205 DLH, 55 setups and 125 moves? Answer: 57,683.79 to search 10

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