Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 15 13 15 15 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) What type of pattern exists in the data? (b) Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Do not round intermediate calculations. If required, round your answers to two decimal places. Week Value Forecast 1 18 2 13 3 15 4 13 5 15 6 15 MSE: The forecast for week 7: (c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Do not round intermediate calculations. If required, round your answers to two decimal places. Week Value Forecast 1 18 2 13 3 15 4 13 5 15 6 15 MSE: The forecast for week 7: (d) Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE? Explain. Using this approach results in a MSE. (e) Use trial and error to find a value of the exponential smoothing coefficient α that yields the minimum MSE. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient. alpha:
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 15 13 15 15 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) What type of pattern exists in the data? (b) Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Do not round intermediate calculations. If required, round your answers to two decimal places. Week Value Forecast 1 18 2 13 3 15 4 13 5 15 6 15 MSE: The forecast for week 7: (c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Do not round intermediate calculations. If required, round your answers to two decimal places. Week Value Forecast 1 18 2 13 3 15 4 13 5 15 6 15 MSE: The forecast for week 7: (d) Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE? Explain. Using this approach results in a MSE. (e) Use trial and error to find a value of the exponential smoothing coefficient α that yields the minimum MSE. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient. alpha:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Consider the following time series data.
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What type of pattern exists in the data? | ||||||||||||||||||||||||
(b) | Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. | |||||||||||||||||||||||
Do not round intermediate calculations. If required, round your answers to two decimal places. | ||||||||||||||||||||||||
|
||||||||||||||||||||||||
MSE: | ||||||||||||||||||||||||
The forecast for week 7: | ||||||||||||||||||||||||
(c) | Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. | |||||||||||||||||||||||
Do not round intermediate calculations. If required, round your answers to two decimal places. | ||||||||||||||||||||||||
|
||||||||||||||||||||||||
MSE: | ||||||||||||||||||||||||
The forecast for week 7: | ||||||||||||||||||||||||
(d) | Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE? | |||||||||||||||||||||||
Explain. | ||||||||||||||||||||||||
Using this approach results in a MSE. | ||||||||||||||||||||||||
(e) | Use trial and error to find a value of the exponential smoothing coefficient α that yields the minimum MSE. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient. | |||||||||||||||||||||||
alpha: |
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