The monthly sales for Yazici Batteries, Inc., were as follows: Month Jan Feb Mar Apr Мay Jun Jul Aug Sept Oct Nov Dec Sales 20 21 16 15 15 16 17 19 19 20 23 22 This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method = 22 sales (round your response to a whole number). The forecast for the next period (Jan) using a 3-month moving average approach = 21.67 sales (round your response to two decimal places, The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the heaviest weights are applied to the most recent month = 20.7 sales (round your response to one decimal place). Using exponential smoothing with a = 0.40 and a September forecast of 18.00, the forecast for the next period (Jan) = sales (round your response to two decimal places). Using a method of trend projection, the forecast for the next month (Jan) = sales (round your response to two decimal places). c) The method that can be used for making a forecast for the month of March is
The monthly sales for Yazici Batteries, Inc., were as follows: Month Jan Feb Mar Apr Мay Jun Jul Aug Sept Oct Nov Dec Sales 20 21 16 15 15 16 17 19 19 20 23 22 This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method = 22 sales (round your response to a whole number). The forecast for the next period (Jan) using a 3-month moving average approach = 21.67 sales (round your response to two decimal places, The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the heaviest weights are applied to the most recent month = 20.7 sales (round your response to one decimal place). Using exponential smoothing with a = 0.40 and a September forecast of 18.00, the forecast for the next period (Jan) = sales (round your response to two decimal places). Using a method of trend projection, the forecast for the next month (Jan) = sales (round your response to two decimal places). c) The method that can be used for making a forecast for the month of March is
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 44P
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Question
100%
![The monthly sales for Yazici Batteries, Inc., were as follows:
Month
Jan
Feb
Mar
Apr May
Jun
Jul
Aug Sept
Oct
Nov
Dec
Sales
20
21
16
15
15
16
17
19
19
20
23
22
This exercise contains only parts b and c.
b) The forecast for the next month (Jan) using the naive method = 22 sales (round your response to a whole number).
The forecast for the next period (Jan) using a 3-month moving average approach = 21.67 sales (round your response to two decimal places)
The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the
heaviest weights are applied to the most recent month = 20.7 sales (round your response to one decimal place).
Using exponential smoothing with a = 0.40 and a September forecast of 18.00, the forecast for the next period (Jan) :
sales (round your
response to two decimal places).
Using a method of trend projection, the forecast for the next month (Jan) =
sales (round your response to two decimal places).
%3D
c) The method that can be used for making a forecast for the month of March is
a 3-month moving average
a 6-month weighted moving average
exponential smoothing
the naive method
a trend projection](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb6ea49f2-aec0-47e4-ae21-0e0a47907cd1%2F86612415-0b9f-445d-9be1-7348179163c2%2Fls61tk_processed.png&w=3840&q=75)
Transcribed Image Text:The monthly sales for Yazici Batteries, Inc., were as follows:
Month
Jan
Feb
Mar
Apr May
Jun
Jul
Aug Sept
Oct
Nov
Dec
Sales
20
21
16
15
15
16
17
19
19
20
23
22
This exercise contains only parts b and c.
b) The forecast for the next month (Jan) using the naive method = 22 sales (round your response to a whole number).
The forecast for the next period (Jan) using a 3-month moving average approach = 21.67 sales (round your response to two decimal places)
The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the
heaviest weights are applied to the most recent month = 20.7 sales (round your response to one decimal place).
Using exponential smoothing with a = 0.40 and a September forecast of 18.00, the forecast for the next period (Jan) :
sales (round your
response to two decimal places).
Using a method of trend projection, the forecast for the next month (Jan) =
sales (round your response to two decimal places).
%3D
c) The method that can be used for making a forecast for the month of March is
a 3-month moving average
a 6-month weighted moving average
exponential smoothing
the naive method
a trend projection
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