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The table bellows shows the demand for a particular brand of microwave oven in a department store: Month Demand 2 3 4 5 6 27 31 29 36 35 42 a. Calculate a two month weighted moving average for all possible months with weight assigned to oldest in order 0.4, 0.5. b. Apply exponential smoothing with a smoothing constant of 0.7 to derive a forecast for all possible months. c. Which of the two methods would you use to forecast and why

The table bellows shows the demand for a particular brand of microwave oven in a department store: Month Demand 2 3 4 5 6 27 31 29 36 35 42 a. Calculate a two month weighted moving average for all possible months with weight assigned to oldest in order 0.4, 0.5. b. Apply exponential smoothing with a smoothing constant of 0.7 to derive a forecast for all possible months. c. Which of the two methods would you use to forecast and why

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The table bellows shows the demand for a particular brand of microwave oven in a department store: Month 1 3 4 5 Demand 27 31 29 36 35 42 a. Calculate a two month weighted moving average for all possible months with weight assigned to oldest in order 0.4, 0.5. b. Apply exponential smoothing with a smoothing constant of 0.7 to derive a forecast for all possible months. c. Which of the two methods would you use to forecast and why
Transcribed Image Text:The table bellows shows the demand for a particular brand of microwave oven in a department store: Month 1 3 4 5 Demand 27 31 29 36 35 42 a. Calculate a two month weighted moving average for all possible months with weight assigned to oldest in order 0.4, 0.5. b. Apply exponential smoothing with a smoothing constant of 0.7 to derive a forecast for all possible months. c. Which of the two methods would you use to forecast and why
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