The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 135 120 4 105 90 6. 120 145 8. 140 2. 3.
The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 135 120 4 105 90 6. 120 145 8. 140 2. 3.
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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Transcribed Image Text:The following time series shows the sales of a particular product over the past 12 months.
Month Sales
1
105
2
135
3
120
4
105
90
120
7
145
8
140
100
10
80
11
100
12
110

Transcribed Image Text:(c) Use a smoothing constant of a = 0.6 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.)
Time Series Value
Month t
Forecast F,
1
105
135
3
120
105
5
90
6
120
7
145
8
140
9
100
10
80
11
100
12
110
Does a smoothing constant of 0.4 or 0.6 appear to provide more accurate forecasts based on MSE?
O A smoothing constant of 0.6 is better than a smoothing constant of 0.4 since the MSE is less for 0.6 than for 0.4.
O A smoothing constant of 0.4 is better than a smoothing constant of 0.6 since the MSE is greater for 0.4 than for 0.6.
O A smoothing constant of 0.4 is better than a smoothing constant of 0.6 since the MSE is less for 0.4 than for 0.6.
O A smoothing constant of 0.6 is better than a smoothing constant of 0.4 since the MSE is greater for 0.6 than for 0.4.
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