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Logistic regression is a data analysis technique that uses mathematics to find the relationships between two data factors. then uses this relationship to predict the value of one of those factors based on the other. A prediction usually has a finite number of outcomes.

For example, let's say you want to guess if your website visitor will click the checkout button in their shopping cart or not. It determines the past, if visitors spent more than five minutes on it. A logistic regression analysis looks at past visitor behavior, such as time spent on the website and the number of items in the cart. If visitors added more than three items to the cart, they clicked the checkout button. Using this information, the logistic regression function can then predict the behavior of a new website visitor.