Building a Logistic Model

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Logistic regression is a form of regression analysis. A binary logistic regression is used when the target variable is a dichotomy, having only two values, for example, 0 or 1, or Yes or No. The target variable is also referred to as a response variable, since it usually denotes the response to some event.

For example, you may be modeling responses to advertising campaigns or to medical treatments. In these cases, the logistic regression is used to predict which people are more likely to respond to an event, for instance, which people are likely to buy the advertised product. Multinomial logistic regression is used when the target variable has more than two classes.


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