Time Series Week Forecast Value 1 19 11 16 4 10 5 17 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? :) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Exce 2. 3.
Time Series Week Forecast Value 1 19 11 16 4 10 5 17 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? :) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Exce 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:(b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.)
Time Series
Week
Forecast
Value
1
19
11
3
16
10
5
17
6
12
Compute MSE. (Round your answer to two decimal places.)
MSE =
What is the forecast for week 7?
(c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Use all decimal places as given in Excel).
Time Series
Week
Forecast
Value
1
19
2
11
3
16
4
10
5
17
6
12
Compute MSE. (Round your answer to two decimal places.)
MSE =
What is the forecast for week 7? (Round your answer to two decimal places.)
Transcribed Image Text:Consider the following time series data.
Week 1 2
3
4
5
6
Value 19 11
16
10
17
12
(a) Construct a time series plot.
201
20T
20-
20
18-
18
18
18
16
16
16
16-
14
14
14
12
12
12
12
10
10
10
10
8.
8+
8-
81
6
4+
21
4
4
4
2
2
0-
2
3
4
1
2
3
4
5
6
7
1
3
4.
5
6.
7
2
3
4
6
7
Week
Week
Week
Week
What type of pattern exists in the data?
O The data appear to follow a horizontal pattern.
O The data appear to follow a seasonal pattern.
O The data appear to follow a cyclical pattern.
O The data appear to follow a trend pattern.
Time Series Value
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