I want to do a regression what the probability is of event being True (=P(E)). This dependends on three variables, let's say A, B and C.

SO: P(E) = X1 * A + X2 * B + X3 * C

My data consists of the value of A, B and C and whether the event is True or False (so not a probability).

I can randomly select ranges for A, B and C and the calculate the probability of the event being True for that range simply as (number True / total number) * 100. But how can I make a distinction between the ranges of A, B and C and just the values for A, B and C here? What type of regression can best be applied here?



  • $\begingroup$ It looks to me like you are simply looking for logistic regression, which is the standard way of modeling True/False outcomes. It seems like the intervals are a bit of a red herring. $\endgroup$ Sep 23 at 14:44


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