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With MAD as the criterion, the best forecasting model for this time series data is:     A. Naïve approach     B. 2-week SMA     C. WMA with weights: 0.5, 0.3, 0.2     D. ES with alpha = 0.8 b) The demand

With MAD as the criterion, the best forecasting model for this time series data is:     A. Naïve approach     B. 2-week SMA     C. WMA with weights: 0.5, 0.3, 0.2     D. ES with alpha = 0.8 b) The demand

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter7: Percents
Section: Chapter Questions
Problem 2PTTS
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a) With MAD as the criterion, the best forecasting model for this time series data is:
    A. Naïve approach
    B. 2-week SMA
    C. WMA with weights: 0.5, 0.3, 0.2
    D. ES with alpha = 0.8

b) The demand forecast for Month 6 would be:
    A. 565 haircuts
    B. 574 haircuts
    C. 578 haircuts
    D. 584 haircuts

TIME SERIES FORECASTING Demand for haircut at PogiPoints Barber Shop has increased steadily for the past few months as seen in the following time series data. Do the necessary computations and choose the best answer that would complete each statement. NA SMA; n= 2 WMA; 0.2, 0.3, 0.5 ES; a = 0.8 MONTH HAIRCUTS PERFORMED |A-F| |A-F| |A-F| |A-F| F F F F 1 450 2 495 3 520 4 563 584 6.
Transcribed Image Text:TIME SERIES FORECASTING Demand for haircut at PogiPoints Barber Shop has increased steadily for the past few months as seen in the following time series data. Do the necessary computations and choose the best answer that would complete each statement. NA SMA; n= 2 WMA; 0.2, 0.3, 0.5 ES; a = 0.8 MONTH HAIRCUTS PERFORMED |A-F| |A-F| |A-F| |A-F| F F F F 1 450 2 495 3 520 4 563 584 6.
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