Use the data below to solve for the following: 2. Naïve method 3. Unweighted 3 month moving average 4. Weighted Moving Average (3 months, with the following weights: 0.45, 0.35, 0.20) 5. Simple Exponential Smoothing with the following parameters: Ft+1=32 and the a = .15 6. Time Series Regression Months 1 2 3 4 5 6 7 8 9 10 11 12 Firm's Actual Market share 30 32 33 34 28 33 29 27 32 33 28 33 7. Which of the following forecasting method will you use? 8. What are your basis in choosing for your forecasting techniques? Explain briefly.
Use the data below to solve for the following: 2. Naïve method 3. Unweighted 3 month moving average 4. Weighted Moving Average (3 months, with the following weights: 0.45, 0.35, 0.20) 5. Simple Exponential Smoothing with the following parameters: Ft+1=32 and the a = .15 6. Time Series Regression Months 1 2 3 4 5 6 7 8 9 10 11 12 Firm's Actual Market share 30 32 33 34 28 33 29 27 32 33 28 33 7. Which of the following forecasting method will you use? 8. What are your basis in choosing for your forecasting techniques? Explain briefly.
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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Transcribed Image Text:Use the data below to solve for the following:
2. Naïve method
3. Unweighted 3 month moving average
4. Weighted Moving Average (3 months, with the following weights: 0.45, 0.35, 0.20)
5. Simple Exponential Smoothing with the following parameters:
Ft+1=32 and the α = .15
6. Time Series Regression
Months
1
2
3
4
5
6
7
8
9
10
11
12
Firm's Actual Market share
30
32
33
34
28
33
29
27
32
33
28
33
7. Which of the following forecasting method will you use?
8. What are your basis in choosing for your forecasting techniques? Explain briefly.
ONLY DO
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