(a) Construct a time series plot. What type of pattern exists in the data? The data appear to follow a seasonal pattern.The data appear to follow a trend pattern. The data appear to follow a horizontal pattern.The data appear to follow a cyclical pattern. (b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 18 2 11 3 14 4 10 5 17 6 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (c) Use ? = 0.2 to compute the exponential smoothing values for the time series. Week Time Series Value Forecast 1 18 2 11 3 14 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.)
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Primary Demand Advertising
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Week | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
Value | 18 | 11 | 14 | 10 | 17 | 12 |
Week | Time Series Value |
|
---|---|---|
1 | 18 | |
2 | 11 | |
3 | 14 | |
4 | 10 | |
5 | 17 | |
6 | 12 |
Week | Time Series Value |
Forecast |
---|---|---|
1 | 18 | |
2 | 11 | |
3 | 14 | |
4 | 10 | |
5 | 17 | |
6 | 12 |
Week | Time Series Value |
Forecast |
---|---|---|
1 | 18 | |
2 | 11 | |
3 | 14 | |
4 | 10 | |
5 | 17 | |
6 | 12 |
For the given data, very first, I would construct the time series plot, based on this plot, I would identify a pattern, there are multiple subparts, the first three sub-parts are taken for answering purposes, the detailed descriptions are mentioned below,
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