True, or false?

a. An ordinary regression (or ANOVA) model that treats the response Y as normally distributed is a special case of a GLM, with normal random component and identity link function.

b. With a GLM, Y does not need to have a normal distribution and one can model a function of the mean of Y instead of just the mean itself, but in order to get ML estimates the variance of Y must be constant at all values of predictors.

c. The Pearson residual ei = (yi − ˆμi)/

√

ˆμ

i for a GLM has a large-sample standard normal distribution.