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
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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