follows: The monthly sales for Yazici Batteries, Inc., were as MONTH January February March April May June July August September October November December SALES 20 21 15 14 13 16 17 18 20 20 21 23
follows: The monthly sales for Yazici Batteries, Inc., were as MONTH January February March April May June July August September October November December SALES 20 21 15 14 13 16 17 18 20 20 21 23
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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Please solve exact, acurate with complete details

Transcribed Image Text:follows:
The monthly sales for Yazici Batteries, Inc., were as
MONTH
January
February
March
April
May
June
July
August
September
October
November
December
SALES
20
21
15
14
13
16
17
18
20
20
21
23
a) Plot the monthly sales data.
b) Forecast January sales using each of the following:
i) Naive method.
ii) 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 fore-
cast next March's sales? PX
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