In the core reading, it says
Note that each factor has a base level that should not be included in the model,and for interactions, each base level row and column of the interaction
parameter matrix should be removed
would you please explain this in the light of the example below it? everything has been included in it, so what is being removed?
Also, where Deviance is defined, it says "This compares the observed value Yi to the fitted value mu_i with allowance for the weights and assigning higher importance to errors where the variance should be small." Would you pls explain the rationale behind higher importance to lower variance errors?
Last edited by a moderator: Dec 22, 2014
