(b) Use a = 0.1 to compute the exponential smoothing values for the time series. (Round your answers to four decimal places.) Time Series Value Month t Forecast F. 1 105 135 105 3 120 108 4 105 109.20 90 108.78 120 106.90 145 108.21 8 140 111.89 9 100 114.70 10 80 113.23 11 100 109.90 12 110 108.91 (c) Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.1. a = 109.01

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Please correct my answers for part b and c
(b) Use a = 0.1 to compute the exponential smoothing values for the time series. (Round your answers to four decimal places.)
Time Series Value
Month t
Forecast F.
1
105
135
105
120
108
4
105
109.20
90
108.78
120
106.90
145
108.21
140
111.89
6.
100
114.70
10
80
113.23
11
100
109.90
12
110
108.91
(c) Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.1.
%3D
a = 109.01
Transcribed Image Text:(b) Use a = 0.1 to compute the exponential smoothing values for the time series. (Round your answers to four decimal places.) Time Series Value Month t Forecast F. 1 105 135 105 120 108 4 105 109.20 90 108.78 120 106.90 145 108.21 140 111.89 6. 100 114.70 10 80 113.23 11 100 109.90 12 110 108.91 (c) Use trial and error to find a value of the exponential smoothing coefficient a that results in a smaller MSE than what you calculated for a = 0.1. %3D a = 109.01
The following time series shows the sales of a particular product over the past 12 months.
Month
Sales
105
135
3
120
4
105
90
120
145
140
6.
100
10
80
11
100
12
110
Transcribed Image Text:The following time series shows the sales of a particular product over the past 12 months. Month Sales 105 135 3 120 4 105 90 120 145 140 6. 100 10 80 11 100 12 110
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