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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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ty 1 - Plot Time Series and Use Exponential Smoothing Forecasts (Structured) 13 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Time-Series Value Month 1 2 3 4 LO 5 6 7 8 9 10 11 12 13 Compute MSE (to 2 decimals). MSE (α = 0.1): MSE (α = 0.5): 110 130 120 105 95 125 150 140 95 85 105 115 Forecast Does a smoothing constant of 0.1 or 0.5 appear to provide more accurate forecasts based on MSE? Smoothing constant of 0.1 provides more accurate forecasts based on MSE. X
Transcribed Image Text:ty 1 - Plot Time Series and Use Exponential Smoothing Forecasts (Structured) 13 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Time-Series Value Month 1 2 3 4 LO 5 6 7 8 9 10 11 12 13 Compute MSE (to 2 decimals). MSE (α = 0.1): MSE (α = 0.5): 110 130 120 105 95 125 150 140 95 85 105 115 Forecast Does a smoothing constant of 0.1 or 0.5 appear to provide more accurate forecasts based on MSE? Smoothing constant of 0.1 provides more accurate forecasts based on MSE. X
b. Use a = 0.1 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Month 1 2 3 4 5 6 7 8 9 10 Month 11 12 13 Time-Series Value 1 2 3 4 5 6 110 130 120 105 95 125 150 140 95 85 105 115 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Time-Series Value Forecast 110 130 120 105 95 125 Forecast
Transcribed Image Text:b. Use a = 0.1 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Month 1 2 3 4 5 6 7 8 9 10 Month 11 12 13 Time-Series Value 1 2 3 4 5 6 110 130 120 105 95 125 150 140 95 85 105 115 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Time-Series Value Forecast 110 130 120 105 95 125 Forecast
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