Question
Part 2 : Classic Company is interested in establishing the relationship between utility costs and machine hours. Data has been collected and a regression analysis
Part 2: Classic Company is interested in establishing the relationship between utility costs and machine hours. Data has been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow:
Machine | Electric | |
Month | Hours | Costs |
January | 2470 | 16200 |
February | 5330 | 29700 |
March | 4810 | 31200 |
April | 3250 | 22080 |
May | 5460 | 33300 |
June | 3770 | 25200 |
July | 4940 | 33900 |
August | 4030 | 27600 |
September | 6110 | 37200 |
October | 2600 | 18600 |
November | 4550 | 27300 |
December | 4290 | 26400 |
January | 6450 | 38900 |
February | 3175 | 26500 |
March | 2785 | 18500 |
Required: a. Using Excel, perform a regression analysis on the above data and generate a summary output. (Follow the instructions in your text book on pages 197-202). b. What is the equation for utility costs using the regression analysis?
c. Prepare an estimate of utility costs for a month when 3,000 machine hours are worked
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