Problem 6-09With the gasoline time series data from the given table, show the exponential smoothing forecasts using α = 0.1. 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? Do not round your interim computations and round your final answers to three decimal places. α = 0.1α = 0.2MSEfill in the blank 1fill in the blank 2Prefer: Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places. α = 0.1α = 0.2MAEfill in the blank 4fill in the blank 5Prefer: What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places. α = 0.1α = 0.2MAPEfill in the blank 7 %fill in the blank 8 %Prefer: GASOLINE SALES TIME SERIESWeekSales (1000s of gallons)117213.19231816456.7201822102011151222a. 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? Do not round your interim computations andround your final answers to three decimal places.a = 0.1a = 0.2MSEPrefer:b. Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places.a = 0.1a = 0.2MAE a. 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? Do not round your interim computations andround your final answers to three decimal places.a = 0.1a = 0.2MSEPrefer:b. Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places.a = 0.1a = 0.2MAEPrefer:c. What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places.a = 0.1a = 0.2МАРЕ%Prefer:

If the data has no trend and no seasonal pattern , then this method of forecasting the time series…

Answered: Problem 6-09 With the gasoline time…

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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Problem 6-09

With the gasoline time series data from the given table, show the exponential smoothing forecasts using α = 0.1.

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? Do not round your interim computations and round your final answers to three decimal places.

α = 0.1 α = 0.2

MSE fill in the blank 1 fill in the blank 2

Prefer:

Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places.

α = 0.1 α = 0.2

MAE fill in the blank 4 fill in the blank 5

Prefer:

What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places.

α = 0.1 α = 0.2

MAPE fill in the blank 7 % fill in the blank 8 %

Prefer:

GASOLINE SALES TIME SERIES
Week
Sales (1000s of gallons)
1
17
21
3.
19
23
18
16
4
5
6.
7
20
18
22
10
20
11
15
12
22
a. 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? Do not round your interim computations and
round your final answers to three decimal places.
a = 0.1
a = 0.2
MSE
Prefer:
b. Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places.
a = 0.1
a = 0.2
MAE

a. 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? Do not round your interim computations and
round your final answers to three decimal places.
a = 0.1
a = 0.2
MSE
Prefer:
b. Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places.
a = 0.1
a = 0.2
MAE
Prefer:
c. What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places.
a = 0.1
a = 0.2
МАРЕ
%
Prefer:

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