22. A linear equation for the trend in demand data was found to be YT =...
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22. A linear equation for the trend in demand data was found to be YT = 1,524 + 5.2X, where X is the number of the month as designated in the table that follows. MONTH January February March April May June July August MONTH NUMBER 1 144563 2 7 September 9 October 1910 November pro December Year I 11 12 ACTUAL DEMAND 1,419 1,341 1,275 1,353 1,438 1,547 1,688 1,755 1,862 1,782 1,670 1,576 Year 2 MONTH NUMBER 13 14 15 16 17 18 19 20 21 22 23 24 ACTUAL DEMAND 1,495 1,390 1,319 1,420 1,506 1,627 1,719 1,802 1,921 1,851 1,736 1,659 102 sma. Project the trend values for each month and determine the multiplicative index for each of the 24 months. b. Determine the additive index for each of the 24 months. c. Is it obvious whether an additive or multiplicative model is more appropriate? 22. A linear equation for the trend in demand data was found to be YT = 1,524 + 5.2X, where X is the number of the month as designated in the table that follows. MONTH January February March April May June July August MONTH NUMBER 1 144563 2 7 September 9 October 1910 November pro December Year I 11 12 ACTUAL DEMAND 1,419 1,341 1,275 1,353 1,438 1,547 1,688 1,755 1,862 1,782 1,670 1,576 Year 2 MONTH NUMBER 13 14 15 16 17 18 19 20 21 22 23 24 ACTUAL DEMAND 1,495 1,390 1,319 1,420 1,506 1,627 1,719 1,802 1,921 1,851 1,736 1,659 102 sma. Project the trend values for each month and determine the multiplicative index for each of the 24 months. b. Determine the additive index for each of the 24 months. c. Is it obvious whether an additive or multiplicative model is more appropriate?
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