File:Spurious regression with non-stationary time series.svg
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English: Spurious regression with non-stationary time series. Time series X and Y follow AR(1) processes. and . |
| Date | |
| Source | Generated with Matplotlib. |
| Author | User:Kwj2772 |
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I, the copyright holder of this work, hereby publish it under the following license:
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 10:19, 9 April 2022 | | 1,229 × 599 (99 KB) | Kwj2772 (talk | contribs) | {{Information |Description={{en|Spurious regression with non-stationary time series. Time series X and Y follow AR(1) processes. <math>X_{t}=X_{t-1}+v_{t}</math> and <math>Y_{t}=Y_{t-1}+u_{t}</math>. <math>u, v \sim iid. N(0,10^2)</math>}} |source=Generated with Matplotlib. |date=2022-04-09 |author=User:Kwj2772 |Permission= |other_versions= }} Category:Regression analysis Category:Time series |
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