1. A simple three-month moving average. 2. A three-period weighted moving average using weights of 1, 2, and 3. Assign the highest weight to the most recent data. 3. Exponential Smoothing when α= .6 and the forecast for March is 350.
1. A simple three-month moving average. 2. A three-period weighted moving average using weights of 1, 2, and 3. Assign the highest weight to the most recent data. 3. Exponential Smoothing when α= .6 and the forecast for March is 350.
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 22P: The file P13_22.xlsx contains total monthly U.S. retail sales data. While holding out the final six...
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- The table below shows the sales figures for a brand of shoe over the last 12 months.
Months |
Sales |
January |
69 |
February |
75 |
March |
86 |
April |
92 |
May |
95 |
June |
100 |
July |
108 |
August |
115 |
September |
125 |
October |
131 |
November |
140 |
December |
150 |
Using the following, forecast the sales for the months up to January the following year:-
1. A simple three-month moving average.
2. A three-period weighted moving average using weights of 1, 2, and 3. Assign the highest weight to the most recent data.
3. Exponential Smoothing when α= .6 and the forecast for March is 350.
4. Determine which of the three
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