Poisson regression

Poisson regression is a statistical technique used to model count data, where the outcome variable represents the number of events occurring within a fixed time or space interval. It is an extension of simple linear regression specifically designed for count data, which often violates the assumptions of normality and homoscedasticity.

The Poisson regression model assumes that the count data follow a Poisson distribution, characterized by its mean and variance being equal, which is ____ _________ __________ ________ ____ _______ _____.
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