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hi there and welcome to this video on poisson regression and its relatives so today iamp;#39;ll cover why you need to do a different type of regression if you have count data talk about something called over dispersion and how to choose a method that can deal with it and provide some options to deal with too many or not enough zero values so this video is a bit longer than usual so i put in some links chapter links below and if you want to skip ahead to look for specific topics so iamp;#39;ll assume you have some familiarity with the more traditional linear regression which fits a line to minimize the squared residuals in the y direction right so one key requirement of linear regression is that the residuals should fall evenly around the fitted line with a normal distribution of residuals that has a constant variance at all points along the line so but what if we have count data for counts the residuals usually donamp;#39;t work this way for one thing counts are whole numbers but th