Use a- 0.2 to compute the exponential smootning forecasts for the time seres. Time Series Value Week Forecast 19
Use a- 0.2 to compute the exponential smootning forecasts for the time seres. Time Series Value Week Forecast 19
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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Question
![(C) Use a - 0.2 to compute the exponential smoothing forecasts for the time senies.
Time Series
Week
Forecast
Value
1
19
2
14
5
3
16
2
4
12
18
4
15
3
Compute MSE. (Round your answer to two decimal places.)
MSE -
What is the forecast for week 77 (Round your answer to two decimal places.)
(d) Compare the three-week moving average approach with the exponential smoothing approach using a = 0.2. Which appears to provide more accurate forecasts based on MSE? Explain.
O The exponential smoothing using a - 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach.
O The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach.
• The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach.
O The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach.
(e) Use a smoothing constant of a - 0.4 to compute the exponential smoothing forecasts.
Time Series
Week
Forecast
Value
1
19
2
14
3
16
4
12
18
6.
15](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5e3ea95b-bb3a-48bf-823c-5a2dfbf50640%2F7079a91a-bd33-4880-aadd-e12d58f7c1c2%2Fud5gls5_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(C) Use a - 0.2 to compute the exponential smoothing forecasts for the time senies.
Time Series
Week
Forecast
Value
1
19
2
14
5
3
16
2
4
12
18
4
15
3
Compute MSE. (Round your answer to two decimal places.)
MSE -
What is the forecast for week 77 (Round your answer to two decimal places.)
(d) Compare the three-week moving average approach with the exponential smoothing approach using a = 0.2. Which appears to provide more accurate forecasts based on MSE? Explain.
O The exponential smoothing using a - 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach.
O The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach.
• The exponential smoothing using a = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach.
O The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach.
(e) Use a smoothing constant of a - 0.4 to compute the exponential smoothing forecasts.
Time Series
Week
Forecast
Value
1
19
2
14
3
16
4
12
18
6.
15
![Consider the following time series data.
2| 3
4 56 7
Month
17 21 13
Value
22
11
18
10](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5e3ea95b-bb3a-48bf-823c-5a2dfbf50640%2F7079a91a-bd33-4880-aadd-e12d58f7c1c2%2Fvibaj9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Consider the following time series data.
2| 3
4 56 7
Month
17 21 13
Value
22
11
18
10
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