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good morning So today were going to learn about generalized linear model and lets start with a recap of what we have been seeing so far and when we write a statistical models we want to find a meaningful relationship between the response variable which is usually denoted by Y and one or more of our explanatory variables also I am not sure if the site what if the slides are in the website yet but they will be they are not okay but they okay they might be incomplete I dont know well see okay so we want to find some meaningful relationship between our response variable and our explanatory variables and we want to do that either to do to make inferences about our system or to make make predictions and so far we have assumed that the response variable why it changes continuously and our error structure means that our errors are normally distributed around the mean but this is not always the case and the most extreme deviation of this normality on the distribution of Y is when your resp
