2.-Statistics/R-squared.md

@@ -13,9 +13,7 @@ R² is a useful metric for assessing how well a model explains the relationship
 
 R² is calculated by comparing the total variation in the response variable to the variation explained by the model. The formula is:
 
-\[
-R² = 1 - \frac{\text{SS}_\text{residual}}{\text{SS}_\text{total}}
-\]
+![R Squared](../images/formulas/RSquared.png)
 
 Where:
 - **SS_residual** is the sum of squared differences between the observed values and the values predicted by the model (i.e., the residuals).