From dd1bcc26f0339ed472c5e9e767b963038bb0456b Mon Sep 17 00:00:00 2001 From: zleyyij Date: Wed, 13 Dec 2023 14:38:19 -0700 Subject: [PATCH] vault backup: 2023-12-13 14:38:19 --- education/statistics/Correlation and Regression.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md index 462b59d..79aea81 100644 --- a/education/statistics/Correlation and Regression.md +++ b/education/statistics/Correlation and Regression.md @@ -29,7 +29,9 @@ Correlation is between `-1` and `1`. Correlation near 1 means tight clustering, Put the $x$ values into $L1$, put the $y$ values into $L2$. 1. Convert the $x$ values to standard units ($z$). Convert the $y$ values to standard units. -2. Multiply the standard units for each ($x$, $y$) pair. +$$ z = \frac{x-\bar{x}}{\sigma_x} $$ +2. Multiply the standard units for each ($x$, $y$) pair in the sets +$$ x * y = $$ 3. Find the average of the values from step 3, this is $r$. $$ z_x = \frac{L_1-\bar{x}}{\sigma_x} $$ https://www.thoughtco.com/how-to-calculate-the-correlation-coefficient-3126228