Binary logistic regression is a statistical method used for modeling the relationship between a dependent binary variable and one or more independent variables. This technique helps in predicting the probability that a certain event occurs, based on given predictor variables. It is particularly useful in cases where the outcome is categorical with two possible outcomes, like 'yes' or 'no', allowing for a clear analysis of how different factors influence decision-making processes.
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