From eac4877b63519de6605c65db364395f0699ab45d Mon Sep 17 00:00:00 2001 From: zleyyij Date: Fri, 15 Dec 2023 12:53:31 -0700 Subject: [PATCH] vault backup: 2023-12-15 12:53:31 --- education/statistics/Correlation and Regression.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md index 8219643..bb9882c 100644 --- a/education/statistics/Correlation and Regression.md +++ b/education/statistics/Correlation and Regression.md @@ -64,6 +64,11 @@ https://www.thoughtco.com/how-to-calculate-the-correlation-coefficient-3126228 # Regression (Chapter 10, STAT 1040) ## Notes +### Explanatory and Response Variables - Regression uses values of one variable to predict values for a related value. -- The variable you are trying to predict is called the *response variable*. It is graphed along the *y-axis*. - The variable you have information about that you are using to make the prediction is called the *explanatory variable*. It is graphed along the *x-axis*. \ No newline at end of file +- The variable you are trying to predict is called the *response variable*. It is graphed along the *y-axis*. This is the thing being predicted/measured. +- The variable you have information about that you are using to make the prediction is called the *explanatory variable*. It is graphed along the *x-axis*. This is the treatment. +- Just because a relationship exists between $x$ and $y$ *does not* mean that changes in $x$ *cause* changes in $y$. +- If the graph is given to you already set up, you already know the response and explanatory variables. +- The $\sigma$ line will always always have a slope of: +$$\frac{\sigma_x}{\sigma_y}$$ \ No newline at end of file