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education/statistics/Correlation and Regression.md
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@ -53,4 +53,6 @@ https://www.thoughtco.com/how-to-calculate-the-correlation-coefficient-3126228
- add the same number to every x or y value
- multiply each $x$ or $y$ value by a positive number
- The correlation coefficient can be misleading in the presence of outliers or nonlinear association.
- $r$ only shows the strength of a linear relationship.
- $r$ only shows the strength of a linear relationship.
- High $r$ only indicates high correlation, not causation.
- $r$ is not a linear, perfect scale. An $r$ of 0.8 does not mean twice as much linearity as an $r$ of 0.4