True, or false?
a. When there is a single categorical response variable, logistic models are more appropriate than loglinear models.
b. When you want to model the association and interaction structure among several categorical response variables, logistic models are more appropriate than loglinear models.
c. A difference between logistic and loglinear models is that the logistic model is a GLM assuming a binomial random component whereas the loglinear model is a GLM assuming a Poisson random component. Hence, when both are fitted to a contingency table having 50 cells with a binary response, the logistic model treats the cell counts as 25 binomial observations whereas the loglinear model treats the cell counts as 50 Poisson observations.