diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md
index 08fef55..e9f7451 100644
--- a/education/statistics/Correlation and Regression.md	
+++ b/education/statistics/Correlation and Regression.md	
@@ -113,7 +113,7 @@ $$ \sqrt{1-r^2}(\sigma_y) $$
 - On a least squared regression line, the 1 r.m.s error away will contain $2\sigma$ of the data, and it should loosely mirror a normal curve. 
 - To approximate the R.M.S error for a scatter diagram, take a high value and a low value for a given $x$ coordinate, and divide by 4, because r.m.s error is within $2\sigma$ of either side of the line. 
 - 68% = $2\sigma$, 95% = $4\sigma$
-
+- RMS can help determine which observations are outliers. Typically if a value is more than *2 r.m.s* away from the prediction estimate, it is considered to be an outlier.
 ---
 # Terminology
 | Term | Definition |