DDE-1/Regression.md

@@ -113,7 +113,8 @@ Samples of models withdrawn from the posterior distribution is given on the righ
 
 In the next step, we pass another observation. The likelihood function for the second observation is given on the left. This is then multiplied with the current prior (previously calculated posterior) and normalized, giving the new posterior distribution in the middle:
 
-<img src="uploads/4ba75e6723c829adb282c02d3fd9e97f2/br3.png"  width="600">
+<img src="uploads/a94c288fc6d4c4b95a5a9d9f39daa45e/br3.png"  width="600">
+
 
 If we sample from this new posterior, it gives us the sample lines on the right. We can see that the probable options for the model parameters are narrowed down (middle), which gives much more converged lines.