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SE: 18.30 e forecast for month 8: 18.33 e a = 0.2 to compute the exponential smoothin equired, round your answers to two decimal pl

SE: 18.30 e forecast for month 8: 18.33 e a = 0.2 to compute the exponential smoothin equired, round your answers to two decimal pl

MATLAB: An Introduction with Applications
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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(b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: 18.30 The forecast for month 8: 18.33 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: (d) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? 3-month moving average v (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in the smallest MSE. If required, round your answer to two decimal places. a
Transcribed Image Text:(b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: 18.30 The forecast for month 8: 18.33 (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation. MSE: The forecast for month 8: (d) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. Which appears to provide the better forecast based on MSE? 3-month moving average v (e) Use trial and error to find a value of the exponential smoothing coefficient a that results in the smallest MSE. If required, round your answer to two decimal places. a
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 20 12 18 21 16
Transcribed Image Text:Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 20 12 18 21 16
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