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Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Sales (1,000s of gallons) 18 22 15 26 18 17 21 19 22 18 17 21 Week 1 2 3 4 5 6 7 8 9 10 11 12 (a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week 13 a = 0.1 a = 0.2 (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 - Select your answer-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 - Select your answer-smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An - Select your answer-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. Sales (1,000s of gallons) 18 22 15 26 18 17 21 19 22 18 17 21 Week 1 2 3 4 5 6 7 8 9 10 11 12 (a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week 13 a = 0.1 a = 0.2 (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 - Select your answer-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 - Select your answer-smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An - Select your answer-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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Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Sales (1,000s of gallons) Week 1 2 3 4 5 6 7 8 9 10 11 12 18 22 15 26 18 17 21 19 22 18 17 21 a = 0.1 3 (a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week 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 Select your answer ✓ 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 Select your answer-smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An Select your answer-smoothing constant provides the more accurate forecast, with an overall MAPE of a = 0.2
Transcribed Image Text:Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Sales (1,000s of gallons) Week 1 2 3 4 5 6 7 8 9 10 11 12 18 22 15 26 18 17 21 19 22 18 17 21 a = 0.1 3 (a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2. Exponential Smoothing Week 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 Select your answer ✓ 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 Select your answer-smoothing constant provides the more accurate forecast, with an overall MAE of (d) What are the results if MAPE is used? An Select your answer-smoothing constant provides the more accurate forecast, with an overall MAPE of a = 0.2
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