Using the following, forecast the sales for the months up to January the following year:- A simple three month moving average. A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data. Exponential Smoothing when α= .6 and the forecast for March is 350. Determine which of the three forecasting technique is the most accurate using MAD.
Using the following, forecast the sales for the months up to January the following year:- A simple three month moving average. A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data. Exponential Smoothing when α= .6 and the forecast for March is 350. Determine which of the three forecasting technique is the most accurate using MAD.
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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Question
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:-
- A simple three month moving average.
- A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data.
- Exponential Smoothing when α= .6 and the forecast for March is 350.
- Determine which of the three
forecasting technique is the most accurate using MAD.
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