Distribution Error Logistic Regression
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Standard Error Logistic Regression R
1 record per case, where the "Y" is 1 or 0, is the error term distributed Bernoulli (i.e. variance is p(1-p) )) and when the data is in the form #successes out of #of trials, is it assumed binomial (i.e. variance is np(1-p)), where p is the probability that Y is 1? logistic generalized-linear-model share|improve this question edited Nov 20 '14 at 13:53 Scortchi♦ 18.4k63370 asked Sep 22 '12 at 1:34 B_Miner 1,00834076 1 You are not being precise.The model assumption is that the error terms are independent and identically distributed with a distribution that is N(0,σ$^2$) and is unrelated to the COVARIATE. What is Var(Y|x)? Are you conditioning on X$_2$ =x? Does the model assume the covariate is random in some way or so we assume that the covariate is fixed according to a design matrix? I think it is the latter and therefore Var(Y|X$_2$=x) is implied by the assumptions and does not need to be assumed. –Michael Chernick Sep 22 '12 at 3:28 @MichaelChernick Why does the model assume that $X_2$ is fixed? It certainly can be the case that it is fixed, but it can also be random. Nothing in the question implies either one to me. –
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