2.-Statistics/R-squared.md

@@ -71,9 +71,10 @@ In data analysis, this fallacy occurs when researchers fit multiple models or te
 
 Adjusted R² is an alternative to R² that adjusts for the number of predictors in the model. Unlike R², which increases whenever a new predictor is added (even if it doesn’t improve the model), adjusted R² only increases if the new predictor improves the model more than would be expected by chance.
 
-\[
+$$ 
 \text{Adjusted R²} = 1 - \left( \frac{(1 - R²)(n - 1)}{n - p - 1} \right)
-\]
+$$
+
 
 Where:
 - **n** is the number of observations.