b) The forecast for the next month (Jan) using the naive method = sales (round your response to a whole number). The forecast for the next period (Jan) using a 3-month moving average approach = sales (round your response to two decimal places). %3D 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 = sales (round your response to one decimal place). sales (round your response Using exponential smoothing with a = 0.30 and a September forecast of 18.00, the forecast for the next period (Jan) = 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
b) The forecast for the next month (Jan) using the naive method = sales (round your response to a whole number). The forecast for the next period (Jan) using a 3-month moving average approach = sales (round your response to two decimal places). %3D 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 = sales (round your response to one decimal place). sales (round your response Using exponential smoothing with a = 0.30 and a September forecast of 18.00, the forecast for the next period (Jan) = 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.
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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![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 | 14 | 11 | 16 | 17 | 19 | 22 | 20 | 20 | 24 |
**This exercise contains only parts b and c.**
b) The forecast for the next month (Jan) using the naive method = [ ] sales (round your response to a whole number).
The forecast for the next period (Jan) using a 3-month moving average approach = [ ] 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, 0.10, 0.20, 0.30, where the heaviest weights are applied to the most recent month = [ ] sales (round your response to one decimal place).
Using exponential smoothing with α = 0.30 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 [ ].
(Note: The exercise contains placeholders for calculated responses that students need to fill in based on provided methods and formulas.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fab2cc191-2fdd-4696-b5f6-58c0f2050b23%2F10909cfe-f5a5-4f48-b47b-b89820405dde%2Fmo4sd1i_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 | 14 | 11 | 16 | 17 | 19 | 22 | 20 | 20 | 24 |
**This exercise contains only parts b and c.**
b) The forecast for the next month (Jan) using the naive method = [ ] sales (round your response to a whole number).
The forecast for the next period (Jan) using a 3-month moving average approach = [ ] 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, 0.10, 0.20, 0.30, where the heaviest weights are applied to the most recent month = [ ] sales (round your response to one decimal place).
Using exponential smoothing with α = 0.30 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 [ ].
(Note: The exercise contains placeholders for calculated responses that students need to fill in based on provided methods and formulas.)
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