Which statement is true for naive Bayes?

Naive Bayes can be used for regression.

Let p(C1 | x) and p(C2 | x) be the conditional probabilities that x belongs to class C1 and C2 respectively, in a binary model, log p (C1 | x) – log p(C2 | x) > 0 results in predicting that x belongs to C2.

Naive Bayes is a conditional probability model.

Naive Bayes doesn't require any assumptions about the distribution of values associated with each class.