a) The demand forecast for Month 6 would be: A. 565 haircuts B. 574 haircuts C. 578 haircuts D. 584 haircuts b) With Mean Absolute Deviation (MAD) as the criterion, the best forecasting model for this time series data is: A. Naïve approach B. 2-week Simple Moving Average (SMA) C. Weighted Moving Average (WMA) with weights: 0.5, 0.3, 0.2 D. Exponential Smoothing (ES) with alpha = 0.8
a) The demand forecast for Month 6 would be: A. 565 haircuts B. 574 haircuts C. 578 haircuts D. 584 haircuts b) With Mean Absolute Deviation (MAD) as the criterion, the best forecasting model for this time series data is: A. Naïve approach B. 2-week Simple Moving Average (SMA) C. Weighted Moving Average (WMA) with weights: 0.5, 0.3, 0.2 D. Exponential Smoothing (ES) with alpha = 0.8
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 40P: The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels....
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a) The demand forecast for Month 6 would be:
A. 565 haircuts
B. 574 haircuts
C. 578 haircuts
D. 584 haircuts
b) With Mean Absolute Deviation (MAD) as the criterion, the best
A. Naïve approach
B. 2-week Simple Moving Average (SMA)
C. Weighted Moving Average (WMA) with weights: 0.5, 0.3, 0.2
D. Exponential Smoothing (ES) with alpha = 0.8
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