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in this video we continue our discussion on logistic regression by looking at a simple way to compute predicted probabilities given various values of a parameter so um lets look at the child data and remember recall that theres two types of lenses that were used in this study a spherical lens and an a spherical lens and in the spherical lens group there we identified two groups of subjects ones that had good myopia control they have zeros and one with poor myopia control they are ones so we have two groups this is the situation we would say we want to predict which group youre going to be in and whether you have good or poor control were going to call it we can use this variable and so in order to do that we need to first select cases and we want to do it with the lens type equals zero and because thats the fixed parameter its these guys over here and then we also want to split the file because we know that eyes were multiple eyes were measured from individuals and we know that
