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+1
+    
+
+2
+    know linear regression very well
+
+3
+ make sure you know R^2 and RSE and so on statistics
+
+    MSE, is this related to something called D^2? might have misheard the prof with that one. 
+
+
+
+4
+    given some data set: what method to use?
+    quantitative or qualitative? --> then what method specifically? need to explain why to choose this method. bias-variance tradeoff; will the bias be high or low, and why?  
+
+5
+    bootstraps, cross-examination
+6
+    uneven classes (look at for example LDA on Credit Data)
+
+7
+    PCR and PCA is very useful but probably less important for the exam
+