sider the following time series data. t 1 2 3 4 5 6 10 00 8 ) Construct a time series plot. 16 Time Series Value 14 12 2 13 13 14 Time Series Value 16 14 6 0 1 2 3 4 5 6 1 2 Time Period (t) What type of pattern exists in the data? O The time series plot shows a seasonal pattern. The time series plot shows a linear trend. O The time series plot shows a horizontal pattern. The time series plot shows a nonlinear trend. (b) Develop the linear trend equation for this time series. T₁ = (c) What is the forecast for t = 6? 3 4 5 6 Time Period (t) Time Series Value 642O CO 16 14 10 8 1 2 3 4 5 6 Time Period (t)

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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sider the following time series data.
t
1
2 3 4
5
6
10
00
8
) Construct a time series plot.
16
Time Series Value
14
12
2
13
13 14
Time Series Value
16
14
6
0
1
2
3
4
5
6
1
2
Time Period (t)
What type of pattern exists in the data?
O The time series plot shows a seasonal pattern.
The time series plot shows a linear trend.
O The time series plot shows a horizontal pattern.
The time series plot shows a nonlinear trend.
(b) Develop the linear trend equation for this time series.
T₁ =
(c) What is the forecast for t = 6?
3
4
5
6
Time Period (t)
Time Series Value
642O CO
16
14
10
8
1
2
3
4
5
6
Time Period (t)
Transcribed Image Text:sider the following time series data. t 1 2 3 4 5 6 10 00 8 ) Construct a time series plot. 16 Time Series Value 14 12 2 13 13 14 Time Series Value 16 14 6 0 1 2 3 4 5 6 1 2 Time Period (t) What type of pattern exists in the data? O The time series plot shows a seasonal pattern. The time series plot shows a linear trend. O The time series plot shows a horizontal pattern. The time series plot shows a nonlinear trend. (b) Develop the linear trend equation for this time series. T₁ = (c) What is the forecast for t = 6? 3 4 5 6 Time Period (t) Time Series Value 642O CO 16 14 10 8 1 2 3 4 5 6 Time Period (t)
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