a) Plot the monthly sales data. b) Forecast January sales using each of the following: i) Naive method. ü) A 3-month moving average. iii) A 6-month weighted average using .1, .1, .1, .2, .2, and . with the heaviest weights applied to the most recent month iv) Exponential smoothing using an a = .3 and a Septenb-
a) Plot the monthly sales data. b) Forecast January sales using each of the following: i) Naive method. ü) A 3-month moving average. iii) A 6-month weighted average using .1, .1, .1, .2, .2, and . with the heaviest weights applied to the most recent month iv) Exponential smoothing using an a = .3 and a Septenb-
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Transcribed Image Text:Case Study for Forecasting
4.6
The monthly sales for Telco Batteries, Inc., were as
follows:
Month
Sales
20
January
February
March
21
15
14
April
May
13
June
16
17
July
August
September
October
18
20
20
November
21
December
23
F teta
a) Plot the monthly sales data.
b) Forecast January sales using each of the following:
i) Naive method.
ü) A 3-month moving average.
iii) A 6-month weighted average using .1, .1, .1, .2, .2, and .3,
with the heaviest weights applied to the most recent months.
iv) Exponential smoothing using an a = .3 and a September
forecast of 18.
v) A trend projection.
c) With the data given, which method would allow you to forecast
next March's sales?
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