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Management of Davis’s Department Store has used time-series extrapolation to forecast retail sales for the next four quarters. The sales estimates are $100,000, $120,000, $140,000, and $160,000 for the respective quarters before adjusting for seasonality. Seasonal indices for the four quarters have been found to be 1.30, 0.90, 0.70, and 1.10, respectively. Compute a seasonalized or adjusted sales forecast? Develop an adjusted exponential forecast for a firm with the demand for bread as shown in the table below.  week 1 2 3 4 5 6 7 8 Demands 700 685 648 717 713 728 754 762 Let α = 0.1 and β = 0.2. Previous average of Ft–1= 650, and let the initial trend  adjustment, Tt–1 = 0?   note please answer all the questions

Management of Davis’s Department Store has used time-series extrapolation to forecast retail sales for the next four quarters. The sales estimates are $100,000, $120,000, $140,000, and $160,000 for the respective quarters before adjusting for seasonality. Seasonal indices for the four quarters have been found to be 1.30, 0.90, 0.70, and 1.10, respectively. Compute a seasonalized or adjusted sales forecast? Develop an adjusted exponential forecast for a firm with the demand for bread as shown in the table below.  week 1 2 3 4 5 6 7 8 Demands 700 685 648 717 713 728 754 762 Let α = 0.1 and β = 0.2. Previous average of Ft–1= 650, and let the initial trend  adjustment, Tt–1 = 0?   note please answer all the questions

Practical Management Science
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 29P: The file P13_29.xlsx contains monthly time series data for total U.S. retail sales of building...
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Management of Davis’s Department Store has used time-series extrapolation to forecast retail sales for the next four quarters. The sales estimates are $100,000, $120,000, $140,000, and $160,000 for the respective quarters before adjusting for seasonality. Seasonal indices for the four quarters have been found to be 1.30, 0.90, 0.70, and 1.10, respectively. Compute a seasonalized or adjusted sales forecast?


Develop an adjusted exponential forecast for a firm with the demand for bread as shown in the table below. 

week 1 2 3 4 5 6 7 8
Demands 700 685 648 717 713 728 754 762

Let α = 0.1 and β = 0.2. Previous average of Ft–1= 650, and let the initial trend  adjustment, Tt–1 = 0?

 

note please answer all the questions 

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