The monthly sales for Yazici Batteries, Inc., were as follows: Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Sales 19 21 16 14 15 15 15 17 20 22 21 23 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, 0.20, 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 a = 0.40 and a September forecast of 20.00, the forecast for the next period (Jan) = sales (round your response to two decimal places).
The monthly sales for Yazici Batteries, Inc., were as follows: Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Sales 19 21 16 14 15 15 15 17 20 22 21 23 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, 0.20, 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 a = 0.40 and a September forecast of 20.00, the forecast for the next period (Jan) = sales (round your response to two decimal places).
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 42P: The file P13_42.xlsx contains monthly data on consumer revolving credit (in millions of dollars)...
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