The following excel printout provides information to estimate overhead costs using linear regression: Standard Error t Stat Р-value Lower 95% Upper 95% Coefficients 6035.987027 1411.05464 4.277642 0.002696 2782.0871 9289.88697 Intercept DLH 4.558482698 1.609683731 2.831912 0.022085 0.846543 8.27042244 6.44E-07 6.26E-06 897.781429 36.5701299 644.42436 14.03685 10.41548 # setups 771.1028938 54.93418317 # moves 29.9411124 2.874675342 23.312095 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.996584412 0.99318049 0.990623174 347.9563597 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:
The following excel printout provides information to estimate overhead costs using linear regression: Standard Error t Stat Р-value Lower 95% Upper 95% Coefficients 6035.987027 1411.05464 4.277642 0.002696 2782.0871 9289.88697 Intercept DLH 4.558482698 1.609683731 2.831912 0.022085 0.846543 8.27042244 6.44E-07 6.26E-06 897.781429 36.5701299 644.42436 14.03685 10.41548 # setups 771.1028938 54.93418317 # moves 29.9411124 2.874675342 23.312095 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.996584412 0.99318049 0.990623174 347.9563597 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:
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 76E
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