From bce8181dae37336f7345d33e51a3095875d6b860 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Fri, 15 Dec 2023 13:04:23 -0700 Subject: [PATCH] vault backup: 2023-12-15 13:04:23 --- education/statistics/Correlation and Regression.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md index 421b14f..ac3cd55 100644 --- a/education/statistics/Correlation and Regression.md +++ b/education/statistics/Correlation and Regression.md @@ -73,5 +73,8 @@ https://www.thoughtco.com/how-to-calculate-the-correlation-coefficient-3126228 - The $\sigma$ line will always always have a slope of: $$\pm \frac{\sigma_y}{\sigma_x}$$ - The SD line always passes through the averages for each axis. -- Someone who is *exactly on* the SD line is the same number of SDs above or below +- It'll go through the middle of the "football" +- $(ave_x, ave_y)$ is on the line +- Visually looks like a line of best fit +- Someone who is *exactly on* the SD line is the same number of SDs above or below the average in the y axis as they are in the x axis. Given a scatter diagram where the average of each set lies on the point $(75, 70)$, with a $\sigma_x$ of 10 and a $\sigma_y$ of 12, you can graph the SD line by going up $\sigma_y$ and right $\sigma_x$, then connecting that point (in this example, $(85, 82)$) with the mean points. \ No newline at end of file