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I understand that overdispersion indicates extra, unexplained variation in the response than would be expected based on the statistical model of choice. And that the residual deviance is a measure of goodness of fit.

But I don't have an intuition behind why the ratio of residual deviance to residual degrees of freedom gives a measure of overdispersion.

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