Based on the following data - (a) units produced from September to December are as follows: 18,900, 17,500, 21,200, 23,400; (b) total cost are as follows: P1,240,800, P1,198,000, P1,374,200, P1,563,800. What is the cost function using least-squares regression analysis? a. y = 79,822 + 62.44x b. y = 113,000 + 62x c. y = 81,000 + 62x d. y = 113,000 + 62.44x
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Based on the following data - (a) units produced from September to December are as follows: 18,900, 17,500, 21,200, 23,400; (b) total cost are as follows: P1,240,800, P1,198,000, P1,374,200, P1,563,800. What is the cost
a. y = 79,822 + 62.44x
b. y = 113,000 + 62x
c. y = 81,000 + 62x
d. y = 113,000 + 62.44x
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- Finally, the researcher considers using regression analysis to establish a linear relationship between the two variables – hours worked per week and yearly income. Hours per week Yearly Income ('000's) 18 43.8p 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5 63.4 37 63.7 24.5 55.5 28 55.6 19 55.7 38.5 58.2 37.5 58.3 18.5 58.4 32 59.2 35 59.3 36 59.4 39 60.5 24.5 56.7 26 57.8 38 63.8 44.5 64.2 34.5 55.8 34.5 56.2 40 64.3 41.5 64.5 34.5 64.7 42.3 66.1 34.5 72.3 28 73.2 38…Finally, the researcher considers using regression analysis to establish a linear relationship between the two variables – hours worked per week and yearly income. Hours per week Yearly Income ('000's) 18 43.8p 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5 63.4 37 63.7 24.5 55.5 28 55.6 19 55.7 38.5 58.2 37.5 58.3 18.5 58.4 32 59.2 35 59.3 36 59.4 39 60.5 24.5 56.7 26 57.8 38 63.8 44.5 64.2 34.5 55.8 34.5 56.2 40 64.3 41.5 64.5 34.5 64.7 42.3 66.1 34.5 72.3 28 73.2 38…The following activity and cost data that were provided by Hoist Corporation would help in estimating its future maintenance costs: Units Maintenance cost 3 P1,350 7 P1,590 11 P1,920 15 P2,100 Using the least squares regression method to estimates the cost formula, the expected total cost for an activity level of 10 units would be closest to: