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education/statistics/Correlation and Regression.md
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@ -106,7 +106,9 @@ $$ \hat{y} = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$
The distance of an individual point from the regression line.
- If a point is below the line, the error is negative.
- If a point is above the line, the error is positive.
- This value is calculated by subtracting the y value of the regression line from the y value of the point.
- `residual = observed - predicted` for a given $x$ value
- The r.m.s error is the r.m.s size of the errors
$$ \sqrt{1-r^2}(\sigma_y) $$
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