A coffee shop owner wants to estimate demand for the next four quarters for hot chocolate. Sales data consist of trend and seasonality. Quarter relatives are 1.20 for the first quarter, 1.15 for the second quarter, 0.77 for the third quarter, and 0.88 for the fourth quarter. Using the appropriate values of quarter relatives and the equation Ft = 179 + 8.4t for the trend component, estimate demand for periods 9-12. (Round all calculations to two decimal points.) Demand Period 9 Demand Period 10 Demand Period 11 Demand Period 12

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.7: Exponential Smoothing Models
Problem 28P: The file P13_28.xlsx contains monthly retail sales of U.S. liquor stores. a. Is seasonality present...
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A coffee shop owner wants to estimate demand for the next four quarters for hot chocolate. Sales data consist of trend and
seasonality. Quarter relatives are 1.20 for the first quarter, 1.15 for the second quarter, 0.77 for the third quarter, and 0.88 for the fourth
quarter. Using the appropriate values of quarter relatives and the equation Ft = 179 + 8.4t for the trend component, estimate demand
for periods 9-12. (Round all calculations to two decimal points.)
Demand Period 9
Demand Period 10
Demand Period 11
Demand Period 12
Transcribed Image Text:A coffee shop owner wants to estimate demand for the next four quarters for hot chocolate. Sales data consist of trend and seasonality. Quarter relatives are 1.20 for the first quarter, 1.15 for the second quarter, 0.77 for the third quarter, and 0.88 for the fourth quarter. Using the appropriate values of quarter relatives and the equation Ft = 179 + 8.4t for the trend component, estimate demand for periods 9-12. (Round all calculations to two decimal points.) Demand Period 9 Demand Period 10 Demand Period 11 Demand Period 12
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