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