File:Visualization of errors-in-variables linear regression.png
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Summary
| Description |
English: Illustration of wikipedia:regression dilution (or attenuation bias) by a range of regression estimates in wikipedia:Errors-in-variables models. Two regression lines (red) bound the range of linear regression possibilities. The shallow slope is obtained when the independent variable (or predictor) is on the abscissa (x-axis). The steeper slope is obtained when the independent variable is on the ordinate (y-axis). By convention, with the independent variable on the x-axis, the shallower slope is obtained. Green reference lines are averages within arbitrary bins along each axis. Note that the steeper green and red regression estimates are more consistent with smaller errors in the y-axis variable. |
| Date | |
| Source | Own work |
| Author | Rickedanielson |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 14:43, 7 December 2016 | | 512 × 512 (92 KB) | Rickedanielson | User created page with UploadWizard |
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