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b) The forecast for the next month (Jan) using the naive method= sales (round your response to a whole number). sales (round your response to two decimal places). The forecast for the next period (Jan) using a 3-month moving average approach = 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). Using exponential smoothing with α = 0.30 and a September forecast of 20.00, the forecast for the next period (Jan) = two decimal places). sales (round your response to

b) The forecast for the next month (Jan) using the naive method= sales (round your response to a whole number). sales (round your response to two decimal places). The forecast for the next period (Jan) using a 3-month moving average approach = 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). Using exponential smoothing with α = 0.30 and a September forecast of 20.00, the forecast for the next period (Jan) = two decimal places). sales (round your response to

Practical Management Science
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 Sales Jan Feb Mar Apr May 20 20 17 12 b) The forecast for the next month (Jan) using the naive method Sept Oct Nov Dec 17 20 22 23 24 = Jun Jul Aug 13 15 15 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, 0.20, 0.20, and 0.30, where the heaviest weights are applied to the most recent month = sales (round your response to one decimal place). Using exponential smoothing with α = 0.30 and a September forecast of 20.00, the forecast for the next period (Jan) = two decimal places). sales (round your response to
Transcribed Image Text:The monthly sales for Yazici Batteries, Inc., were as follows: Month Sales Jan Feb Mar Apr May 20 20 17 12 b) The forecast for the next month (Jan) using the naive method Sept Oct Nov Dec 17 20 22 23 24 = Jun Jul Aug 13 15 15 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, 0.20, 0.20, and 0.30, where the heaviest weights are applied to the most recent month = sales (round your response to one decimal place). Using exponential smoothing with α = 0.30 and a September forecast of 20.00, the forecast for the next period (Jan) = two decimal places). sales (round your response to
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