This question already has an answer here:
I wonder about how the residuals of a logistic regression model should be distributed.
Of course, running a linear regression model and by assuming the Normal distribution assumption, the residuals you predicted from that kind of model should be distributed as a Normal distribution with mean $\mu$ $=$ $0$ and standard deviation $\sigma$ $=$ $1$;
But, what about if you run another kind of regression, with different distribution assumption as, for instance, the logistic one?
Let's suppose one runs a logistic regression model, what distribution the residuals should have?
And, moreover, what is the test I should run to check for the distribution assumption validity?
Any hint, reference or whatever will be appreciated.