If you start dealing with Generalized linear models (GLMs) you will come across sentences like “Obviously the variance of the binary dependent variable is .” Well, for everybody who does not find it too obvious the following derivation may help in understanding the mathematical reasoning behind GLMs, especially Logit and Probit models.
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Expectation and variance of a binary random variable
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