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Summary
| Description |
English: Linear regression of y on X can be viewed as an orthogonal projection of vector y on the linear subspace spanned by X; with the OLS estimator being the coefficients of decomposition of the projected vector by the basis of X. |
| Source | Own work |
| Author | Stpasha |
Licensing
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I, the copyright holder of this work, release this work into the public ___domain. This applies worldwide. In some countries this may not be legally possible; if so: I grant anyone the right to use this work for any purpose, without any conditions, unless such conditions are required by law. |
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:35, 15 July 2009 | | 658 × 440 (24 KB) | Stpasha | image size fit to the size of the content |
| 12:32, 15 July 2009 |  | 744 × 1,052 (24 KB) | Stpasha | {{Information |Description={{en|1=Linear regression of y on X can be viewed as an orthogonal projection of vector y on the linear subspace spanned by X; with the OLS estimator being the coefficients of decomposition of the projected vector by the basis of |
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