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[Music] in this episode what i want to talk about isnt how to carry out a pearsons correlation but the assumptions of a pearsons correlation and how to deal with violations important thing assumptions arent optional you always need to check the assumptions why because violated assumptions yield unreliable or invalid results here are the assumptions of a pearsons correlation the data are continuous the relationship between the variables is linear the data in both variables are normally distributed the observations are independent and the data are homo schedastic lets look at these one at a time pearsons correlations can only deal with continuous variables not categorical variables a pearsons correlation assumes that the relationship between the variables is linear to test for this you can just do a scatter plot with the variables and look at the regression line and you can see that these data dont fit a straight line very well at all they fit a curved line what do you do if you
