From c9760395c2fb446958cbbd24d54cf83b91856bc6 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Tue, 2 Jan 2024 14:34:22 -0700 Subject: [PATCH] vault backup: 2024-01-02 14:34:22 --- 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 f4db2e4..a0a493f 100644 --- a/education/statistics/Correlation and Regression.md +++ b/education/statistics/Correlation and Regression.md @@ -103,7 +103,7 @@ $$ \hat{y} = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$ (Ch 12, stat 1040) Predicting a y value for a given x value can be calculated when given the regression equation. $$ y = mx + b $$ -Where $y$ is the predicted value, $m$ is the slope, x is the given val and the $b$ is the intercept. +Where $y$ is the predicted value, $m$ is the slope, $x$ is the given value and the $b$ is the intercept. $$ slope = \frac{r * \sigma_y}{\sigma_x} $$ ### The Regression Effect