From 68dee41f67b980013d90e19edfdc08b1afef8299 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Thu, 14 Dec 2023 13:57:50 -0700 Subject: [PATCH] vault backup: 2023-12-14 13:57:50 --- education/statistics/Correlation and Regression.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md index 4953c26..3efc928 100644 --- a/education/statistics/Correlation and Regression.md +++ b/education/statistics/Correlation and Regression.md @@ -25,6 +25,7 @@ You can approximate the mean by trying to find the upper bound and the lower bou ## Correlation Correlation is between `-1` and `1`. Correlation near 1 means tight clustering, and correlation near 0 means loose clustering. $r$ is -1 if the points are on a line with negative slope, $r$ is positive 1 if the points are on a line with a positive slope. As $|r|$ gets closer to 1, the line points cluster more tightly around a line. +If $x$ is above average, we expect the $y$ to be above average if there's a strong correlation coefficient ## Calculating $r$ by hand Put the $x$ values into $L1$, put the $y$ values into $L2$. @@ -41,3 +42,5 @@ https://www.thoughtco.com/how-to-calculate-the-correlation-coefficient-3126228 | -- | -- | | $r$ | Correlation Coefficient | | Linear Correlation | Measures the strength of a line | + +(Chapter 9, ST) \ No newline at end of file