Week Demand of beef 1 500 2 550 3 600  4 720 5 780 6 800  Corresponding weights are W1=0.6, W2=0.4 and W3=0.3 The 3-week weighted moving average to forecast- Week Demand of beef 3- weeks weighted moving average forecast 1 500   2 550   3 600   4 720 (500×0.6+550×0.4+600×0.3) / (0.6+0.4+0.3) = 538.46 5 780 (550×0.6+600×0.4+720×0.3) / (0.6+0.4+0.3) = 604.61     (600×0.6+720×0.4+780×0.3) / (0.6+0.4+0.3) = 678.46 Forecast for week 4,5 and 6 = 538.46, 604.61 and 678.46   4-week weighted moving average to forecast- Corresponding weights are W1=0.6, W2=0.4, W3=0.3, and W4=0.2 Week Demand of beef 4-weeks weighted moving average forecast 1 500   2 550   3 600   4 720   5 780 (500×0.6+550×0.4+600×0.3+720×0.2) / (0.6+0.4+0.3+0.2) = 562.66     (550×0.6+600×0.4+720×0.3+780×0.2) / (0.6+0.4+0.3+0.2) = 628 Forecast for week 6 and 7 = 562.66, 628   Show how Mr. Ferdinand can test the accuracy of his forecast

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.6: Moving Averages Models
Problem 21P: The file P13_21.xlsx contains the weekly sales of rakes at a hardware store for a two-year period....
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Week

Demand of beef

1

500

2

550

3

600

 4

720

5

780

6

800

 Corresponding weights are W1=0.6, W2=0.4 and W3=0.3

The 3-week weighted moving average to forecast-

Week

Demand of beef

3- weeks weighted moving average forecast

1

500

 

2

550

 

3

600

 

4

720

(500×0.6+550×0.4+600×0.3) / (0.6+0.4+0.3) = 538.46

5

780

(550×0.6+600×0.4+720×0.3) / (0.6+0.4+0.3) = 604.61

   

(600×0.6+720×0.4+780×0.3) / (0.6+0.4+0.3) = 678.46

Forecast for week 4,5 and 6 = 538.46, 604.61 and 678.46

 

4-week weighted moving average to forecast-

Corresponding weights are W1=0.6, W2=0.4, W3=0.3, and W4=0.2

Week

Demand of beef

4-weeks weighted moving average forecast

1

500

 

2

550

 

3

600

 

4

720

 

5

780

(500×0.6+550×0.4+600×0.3+720×0.2) / (0.6+0.4+0.3+0.2) = 562.66

   

(550×0.6+600×0.4+720×0.3+780×0.2) / (0.6+0.4+0.3+0.2) = 628

Forecast for week 6 and 7 = 562.66, 628

 

  1. Show how Mr. Ferdinand can test the accuracy of his forecast
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