From 82181e5c22cb52e9eb187387b180718371ac787c Mon Sep 17 00:00:00 2001 From: zleyyij Date: Mon, 18 Dec 2023 13:59:40 -0700 Subject: [PATCH] vault backup: 2023-12-18 13:59:40 --- education/statistics/Correlation and Regression.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md index 423f2ee..7cfc444 100644 --- a/education/statistics/Correlation and Regression.md +++ b/education/statistics/Correlation and Regression.md @@ -83,7 +83,8 @@ Given a scatter diagram where the average of each set lies on the point $(75, 70 ### The Regression Line/Least Squared Regression Line (LSRL) - This line has a more moderate slope than the SD line. it does not go through the peaks of the "football" - The regression line is *used to predict* the y variable when the x variable is given -- The regression line goes through the point of averages +- In regression, the $x$ variable is the known variable, and $y$ is the value being solved for. +- The regression line goes through the point of averages, and can be positive or negative $$ slope = r(\frac{\sigma_y}{\sigma_x}) $$ - You can find the regression line by multiplying $\sigma_y$ by $r$, for the rise, then using $\sigma_x$ for the run from the point of averages.