Generalized-Linear-Models.md

@@ -37,10 +37,7 @@ When constructing a generalized linear model, three major decisions must be made
                 f(y;&space;\mu,&space;\sigma^2)=\frac{1}{\sqrt{2\pi\sigma^2}}exp(\frac{-(y- 
                 \mu)^2}{2\sigma^2})" title="f(y; \mu, \sigma^2)=\frac{1} 
                 {\sqrt{2\pi\sigma^2}}exp(\frac{-(y-\mu)^2}{2\sigma^2})" /></a> &nbsp;&nbsp; 
-                for <a href="https://www.codecogs.com/eqnedit.php?latex=-\infty&space; 
-                <&space;y&space;<&space;\infty" target="_blank"><img 
-                src="https://latex.codecogs.com/svg.latex?-\infty&space;<&space;y&space; 
-                <&space;\infty" title="-\infty < y < \infty" /></a>
+                for <img src="https://latex.codecogs.com/svg.latex?-\infty&space;<&space;y&space;<&space;\infty" title="-\infty < y < \infty" />
 
       * Gamma: <a href="https://www.codecogs.com/eqnedit.php? 
                latex=f(y;&space;\mu,\phi)=\frac{1}{\Gamma(\phi^{-1})}(\frac{1}