a regression trying to predict probability of an event. E.g. person finding a job, or defaulting on their debt.
Dependent variable (Y) is 0 or 1 depending on whether even actually happened.
You do not want to use linear regression on such data, since predictions can be above 1 or below 0, i.e. above 100% or below 0% probability, which means you predict that event is guaranteed to happen (or not).
Logit function turns any number into a probability, strictly between 0% and 100%. This is a much better prediction, since you always allow for either thing to happen.
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