diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md
index 444471f..cc649fb 100644
--- a/education/statistics/Correlation and Regression.md	
+++ b/education/statistics/Correlation and Regression.md	
@@ -87,5 +87,9 @@ Given a scatter diagram where the average of each set lies on the point $(75, 70
 $$ slope = r(\frac{\sigma_y}{\sigma_x}) $$
 - You can find the regression line by multiplying $\sigma_y$ by $r$, for the rise, then using $\sigma_x$ for the run from the point of averages.
 
-$$ z_x = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$
-This formula finds the $z$ score for $x$, transforms by $r$, and uses the equation $x = z * \sigma + \bar{x}$ to predict a value for one axis given another axis.
\ No newline at end of file
+The below formula can be used to predict a y value given a 5 number summary of a set. 
+$$ \hat{y} = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$
+# Terminology
+| Term | Definition |
+| -- | -- | 
+| $\hat{y}$ | The predicted value |