True or false?

a. With a single categorical response variable, logistic regression models are more appropriate than loglinear models.

b. To model the association and interaction structure among several categorical response variables, logistic regression models are more appropriate than loglinear models.

c. 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.