a. Using the following, forecast the sales for the months up to January the following year:- i. A simple three month moving average. ii. A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data. iii. Exponential Smoothing when a= .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
Section13.7: 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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The table below shows the sales figures for a brand of shoe over the last 12 months.
Months
January
February
March
April
May
June
July
August
Sales
69
75
86
92
95
100
108
115
125
September
October
November
December
a. Using the following, forecast the sales for the months up to January the following year:-
i. A simple three month moving average.
ii.
A three period weighted moving average using weights of 1, 2 and 3. Assign the
highest weight to the most recent data.
iii.
Exponential Smoothing when a= .6 and the forecast for March is 350.
131
140
150
Transcribed Image Text:The table below shows the sales figures for a brand of shoe over the last 12 months. Months January February March April May June July August Sales 69 75 86 92 95 100 108 115 125 September October November December a. Using the following, forecast the sales for the months up to January the following year:- i. A simple three month moving average. ii. A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data. iii. Exponential Smoothing when a= .6 and the forecast for March is 350. 131 140 150
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