diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md
index 2fe435f..1cfe9fd 100644
--- a/education/statistics/Correlation and Regression.md	
+++ b/education/statistics/Correlation and Regression.md	
@@ -104,7 +104,7 @@ $$ \hat{y} = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$
 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 value and the $b$ is the intercept. 
-$$ intercept = \bar{y} -  $$
+$$ intercept = \bar{y} - slope*\bar{x} $$
 
 $$ slope = \frac{r * \sigma_y}{\sigma_x} $$