2.-Statistics/F-value.md

@@ -48,7 +48,7 @@ Where:
 - $SSR$: The regression sum of squares (explained variance)
 - $p$: The number of predictors in the model
 
-The **Mean Square Within (MSW)**, representing the unexplained variance, is calculated by dividing the **SSE** by the degrees of freedom (the number of observations $n$, minus the number of predictors $p$, and minus one):
+The **Mean Square Within (MSW)**, representing the unexplained variance, is calculated by dividing the **SSE** by the degrees of freedom (the number of observations $n$, minus the number of predictors $p$, and minus one for the intercept):
 
 $$
 MSW = \frac{SSE}{n - p - 1}