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 = 0.8b) The demand forecast for Month 6 would be: A. 565 haircuts B. 574 haircuts C. 578 haircuts D. 584 haircuts TIME SERIES FORECASTINGDemand for haircut at PogiPoints Barber Shop has increased steadily for the pastfew months as seen in the following time series data. Do the necessarycomputations and choose the best answer that would complete each statement.NASMA; n= 2WMA; 0.2, 0.3, 0.5ES; a = 0.8MONTHHAIRCUTS PERFORMED|A-F||A-F||A-F||A-F|FFFF14502495352045635846.

(a). Using MAD criterion find the best forecasting model for the given time series data: Given data…

Answered: With MAD as the criterion, the best…

MATLAB: An Introduction with Applications

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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.

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