I followed this tutorial to learn Hierarchical Linear Regression (HLR) in R, but couldn't understand how to interpret its sample output of
The tutorial simply says
each predictor added along the way is making an important contribution to the overall model.
But I would like some more details to quantify the contribution of each explanatory variable, like:
Adding the "HGRAD" variable explains
Y%) more variance
Adding the "INC" variable further explains
Z%) more variance
So, can I get the value of
Z using the above ANOVA table? How? Specifically, what do
Sum of Sq mean in this ANOVA table?