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(a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week a = 0.1 a = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MSE of (c) Are the results the same if you apply MAE as the measure of accuracy? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MAPE of

(a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week a = 0.1 a = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MSE of (c) Are the results the same if you apply MAE as the measure of accuracy? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MAPE of

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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(a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week a = 0.1 a = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MSE of (c) Are the results the same if you apply MAE as the measure of accuracy? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MAPE of
Transcribed Image Text:(a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week a = 0.1 a = 0.2 13 (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MSE of (c) Are the results the same if you apply MAE as the measure of accuracy? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An a = 0.1 smoothing constant provides the more accurate forecast, with an overall MAPE of
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 17 2 23 3 14 4 25 5 17 16 7 22 8 19 21 10 19 11 17 12 23
Transcribed Image Text:Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week Sales (1,000s of gallons) 1 17 2 23 3 14 4 25 5 17 16 7 22 8 19 21 10 19 11 17 12 23
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