Answered: Consider the following gasoline sales…

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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(b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of α = 0.1 or α = 0.2 for the gasoline sales time series? An α = 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 α = 0.1 smoothing constant provides the more accurate forecast, with an overall MAE of ______

(d) What are the results if MAPE is used? An α = 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
23
14
4.
25
17
16
7.
22
8.
19
6.
21
10
19
11
17
12
23
(a) Show the exponential smoothing forecasts using a = 0.1, and a 0.2.
Exponential
Smoothing
Week
a = 0.1
0 = 0.2
13
18.86
19.62
3.

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