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Graph (iv) What type of pattern exists in the data? Horizontal pattern 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: The forecast for month 8: 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: Compare the three-month moving average forecast with the exponential smoothing forecast using a= 0.2. Which appears to provide the better forecast based o 3-month moving average v Use trial and error to find a value of the exponential smoothing coefficient a that results in the smallest MSE. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient.

Graph (iv) What type of pattern exists in the data? Horizontal pattern 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: The forecast for month 8: 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: Compare the three-month moving average forecast with the exponential smoothing forecast using a= 0.2. Which appears to provide the better forecast based o 3-month moving average v Use trial and error to find a value of the exponential smoothing coefficient a that results in the smallest MSE. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient.

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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Answer subparts b,c,and e.Solve accurately.

Graph (iv) What type of pattern exists in the data? Horizontal pattern (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: The forecast for month 8: (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. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient.
Transcribed Image Text:Graph (iv) What type of pattern exists in the data? Horizontal pattern (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: The forecast for month 8: (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. Do not round intermediate calculations. Use a two-decimal digit precision for the exponential smoothing coefficient.
Consider the following time series data: Month 1 2 3 6 7 Value 24 13 20 12 19 23 15 (a) Choose the correct time series plot. (i) 30 25 20 10 2 3 4 7 Month (ii) 30 25 20 4 Value Value
Transcribed Image Text:Consider the following time series data: Month 1 2 3 6 7 Value 24 13 20 12 19 23 15 (a) Choose the correct time series plot. (i) 30 25 20 10 2 3 4 7 Month (ii) 30 25 20 4 Value Value
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