diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md
index bdd446d..90dce8c 100644
--- a/education/statistics/Correlation and Regression.md	
+++ b/education/statistics/Correlation and Regression.md	
@@ -96,7 +96,7 @@ $$ \hat{y} = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$
 3. Multiply that by $\sigma_y$
 4. Add the average of $y$
 
-- For a positive association, for every $\sigma_x$ above average we are in $x$, the line predicts $y$ to be $\sigma_y$ standard deviations above y.x
+- For a positive association, for every $\sigma_x$ above average we are in $x$, the line predicts $y$ to be $\sigma_y$ standard deviations above y.
 - There are two separate regression lines, one for predicting $y$ from $x$, and one for predicting $x$ from $y$
 - Do not extrapolate outside of the graph