Generalized-Linear-Models.md

@@ -132,7 +132,15 @@ When constructing a generalized linear model, three major decisions must be made
 
 2. **Specifying the Systematic Component (Linear Predictor):**
     A linear combination of predictor variables should be constructed as the linear 
-    predictor of the model. 
+    predictor of the model. This component is the fixed structural part of the model that 
+    will be used to explain systematic variability between means. If we have Q+1 predictors 
+    in our model, the linear predictor would be: 
+
+    <a href="https://www.codecogs.com/eqnedit.php 
+latex=\eta=\beta_0&plus;\beta_1x_1&plus;\beta_2x_2&plus;&space;...&plus;&space;\beta_Qx_Q" target="_blank"><img src="https://latex.codecogs.com/svg.latex?\eta=\beta_0&plus;\beta_1x_1&plus;\beta_2x_2&plus;&space;...&plus;&space;\beta_Qx_Q" title="\eta=\beta_0+\beta_1x_1+\beta_2x_2+ ...+ \beta_Qx_Q" /></a>
+
+
+
 3. **Choosing a Link Function:** 
     An appropriate function must be chosen which maps the mean of the response variable 
     onto the linear predictor. This function should be chosen in such a way to ensure that