A media company is in the process of deciding whether to purchase a maintenance contract for a new plece of camera equipment or pay for the maintenance themselves. Managers feel that cost required to maintain the equipment should be related to the amount of time it is used, and they collected the following data on hours used (per week) and yearly maintenance costs (in dollars). Hours Used per Week 12 10 19 27 31 17 23 31 40 37 Maintenance Cost per Year . 1750 2250 - 2950 3650 4750 3000 3200 3850 5100 4050 a). Develop the estimated regression equation that could be used to predict the yearly maintenance costs (in dollars) given the weekly usage (in hours). (Round your numerical values to two decimal places.)

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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A media company is in the process of deciding whether to purchase a maintenance contract for a new piece of camera equipment or pay for the maintenance themselves. Managers feel that cost
required to maintain the equipment should be related to the amount of time it is used, and they collected the following data on hours used (per week) and yearly maintenance costs (in dollars).
Hours Used per Week
9 =
12
10
19
27
31
17
23
31
40
37
Maintenance Cost per Year
1750
2250
2950
3650
4750
3000
3200
3850
5100
4050
(a) Develop the estimated regression equation that could be used to predict the yearly maintenance costs (in dollars) given the weekly usage (in hours). (Round your numerical values to two
decimal places.)
Transcribed Image Text:A media company is in the process of deciding whether to purchase a maintenance contract for a new piece of camera equipment or pay for the maintenance themselves. Managers feel that cost required to maintain the equipment should be related to the amount of time it is used, and they collected the following data on hours used (per week) and yearly maintenance costs (in dollars). Hours Used per Week 9 = 12 10 19 27 31 17 23 31 40 37 Maintenance Cost per Year 1750 2250 2950 3650 4750 3000 3200 3850 5100 4050 (a) Develop the estimated regression equation that could be used to predict the yearly maintenance costs (in dollars) given the weekly usage (in hours). (Round your numerical values to two decimal places.)
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