From fc0efc6eb9874ecad198a234a4b1dc4ac4d70fa6 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Wed, 3 Jan 2024 14:43:09 -0700 Subject: [PATCH] vault backup: 2024-01-03 14:43:09 --- education/statistics/Correlation and Regression.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md index bdd446d..90dce8c 100644 --- a/education/statistics/Correlation and Regression.md +++ b/education/statistics/Correlation and Regression.md @@ -96,7 +96,7 @@ $$ \hat{y} = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$ 3. Multiply that by $\sigma_y$ 4. Add the average of $y$ -- For a positive association, for every $\sigma_x$ above average we are in $x$, the line predicts $y$ to be $\sigma_y$ standard deviations above y.x +- For a positive association, for every $\sigma_x$ above average we are in $x$, the line predicts $y$ to be $\sigma_y$ standard deviations above y. - There are two separate regression lines, one for predicting $y$ from $x$, and one for predicting $x$ from $y$ - Do not extrapolate outside of the graph