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 with the heaviest weights applied to the most recent montE iv) Exponential smoothing using an a = .3 and a Septemt forecast of 18.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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4.6
The monthly sales for Telco Batteries, Inc., were as
follows:
Month
Sales
20
January
February
March
21
15
14
April
Мay
13
June
16
17
July
August
September
October
18
20
20
November
21
December
23
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.
Transcribed Image Text:4.6 The monthly sales for Telco Batteries, Inc., were as follows: Month Sales 20 January February March 21 15 14 April Мay 13 June 16 17 July August September October 18 20 20 November 21 December 23 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.
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