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(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? (Round your answers to two decimal places.) Using a - 0.1 MSE is 12.16 , and using a- 0.2 MSE is 11.66 , so we would prefer a smoothing constant of 0.2 v (c) Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.) Using a = 0.1 MAE is 3.02 ,and using a - 0.2 MAE is 3.06 , so the results are not the same as applying MSE as our measure of accuracy. (d) What are the results if MAPE is used? (Round your answers to two decimal places.) Using a - 0.1 MAPE is 21.09 X %, and using a = 0.2 MAPE is 15.36 X %, so we would prefer a smoothing constant of 0.1

(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? (Round your answers to two decimal places.) Using a - 0.1 MSE is 12.16 , and using a- 0.2 MSE is 11.66 , so we would prefer a smoothing constant of 0.2 v (c) Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.) Using a = 0.1 MAE is 3.02 ,and using a - 0.2 MAE is 3.06 , so the results are not the same as applying MSE as our measure of accuracy. (d) What are the results if MAPE is used? (Round your answers to two decimal places.) Using a - 0.1 MAPE is 21.09 X %, and using a = 0.2 MAPE is 15.36 X %, so we would prefer a smoothing constant of 0.1

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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Please answer part D
(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? (Round your answers to two decimal places.) Using a - 0.1 MSE Is 12.16 , and using a- 0.2 MSE is 11.66 , so we would prefer a smoothing constant of 0.2 v (c) Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.) Using a - 0.1 MAE is 3.02 ,and using a = 0.2 MAE is 3.06 , so the results are not the same as applying MSE as our measure of accuracy. (d) What are the results if MAPE is used? (Round your answers to two decimal places.) Using a - 0.1 MAPE is 21.09 X %, and using a = 0.2 MAPE is 15.36 X %, so we would prefer a smoothing constant of 0.1 v
Transcribed Image Text:(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? (Round your answers to two decimal places.) Using a - 0.1 MSE Is 12.16 , and using a- 0.2 MSE is 11.66 , so we would prefer a smoothing constant of 0.2 v (c) Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.) Using a - 0.1 MAE is 3.02 ,and using a = 0.2 MAE is 3.06 , so the results are not the same as applying MSE as our measure of accuracy. (d) What are the results if MAPE is used? (Round your answers to two decimal places.) Using a - 0.1 MAPE is 21.09 X %, and using a = 0.2 MAPE is 15.36 X %, so we would prefer a smoothing constant of 0.1 v
(a) Show the exponential smoothing forecasts using a = 0.1. (Round your answers to three decimal places.) Time Series Week Value Forecast 1 17 21 17 3 20 17.4 4 24 17.66 18 18.294 6 17 18.2646 20 18.13814 8 17 18.324 23 18.191 10 21 18.672 11 15 18.905 12 23 18.514
Transcribed Image Text:(a) Show the exponential smoothing forecasts using a = 0.1. (Round your answers to three decimal places.) Time Series Week Value Forecast 1 17 21 17 3 20 17.4 4 24 17.66 18 18.294 6 17 18.2646 20 18.13814 8 17 18.324 23 18.191 10 21 18.672 11 15 18.905 12 23 18.514
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