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okay in this presentation we are going to look at the negative binomial regression model okay so Iamp;#39;m just gonna clear the kernel there for a second just sort of starting from scratch there so just a should probably shouldamp;#39;ve done it a second ago so one of you actually just talked about this this is or what the modeling count variables and hopefully what you would have happened before is that you will be familiar with Poisson regression and the Poisson distribution and this is about modeling count variables or the number of occurrences or the number of instances okay so the Poisson regression and Poisson distribution if you may remember a key part of it is that the expected value is equal to the variance or the variance is more or less equal to the expected value okay the Poisson mean is equal to the Poisson variance okay now if that is not the case you might have encounter you might be encountering something thatamp;#39;s called over disbursed data okay so over disburs