Please help with the corrected answers in details: 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 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 What type of pattern exists in the data? The data appear to follow a trend pattern. The data appear to follow a horizontal pattern. The data appear to follow a cyclical pattern.The data appear to follow a seasonal pattern. (b) Use ? = 0.2 to compute the exponential smoothing values for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (c) Use a smoothing constant of ? = 0.4 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Choose one? 1) smoothing constant of 0.2 is better than a smoothing constant of 0.4 since the MSE is greater for 0.2 than for 0.4. 2) smoothing constant of 0.4 is better than a smoothing constant of 0.2 since the MSE is greater for 0.4 than for 0.2. 3) smoothing constant of 0.4 is better than a smoothing constant of 0.2 since the MSE is less for 0.4 than for 0.2. 4) smoothing constant of 0.2 is better than a smoothing constant of 0.4 since the MSE is less for 0.2 than for 0.4.

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 help with the corrected answers in details:

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
5	90
6	120
7	145
8	140
9	100
10	80
11	100
12	110

What type of pattern exists in the data?

The data appear to follow a trend pattern.

The data appear to follow a horizontal pattern.

The data appear to follow a cyclical pattern.The data appear to follow a seasonal pattern.

(b) Use ? = 0.2 to compute the exponential smoothing values for the time series. (Round your answers to two decimal places.)

Month t	Time Series Value Y_t	Forecast F_t
1	105
2	135
3	120
4	105
5	90
6	120
7	145
8	140
9	100
10	80
11	100
12	110

(c) Use a smoothing constant of ? = 0.4 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.)

Month t	Time Series Value Y_t	Forecast F_t
1	105
2	135
3	120
4	105
5	90
6	120
7	145
8	140
9	100
10	80
11	100
12	110

Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Choose one?

1) smoothing constant of 0.2 is better than a smoothing constant of 0.4 since the MSE is greater for 0.2 than for 0.4. 2) smoothing constant of 0.4 is better than a smoothing constant of 0.2 since the MSE is greater for 0.4 than for 0.2.

3) smoothing constant of 0.4 is better than a smoothing constant of 0.2 since the MSE is less for 0.4 than for 0.2.

4) smoothing constant of 0.2 is better than a smoothing constant of 0.4 since the MSE is less for 0.2 than for 0.4.

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