Logistic Regression

Logistic regression is a method for determining whether each of a set of independent variables has a unique predictive relationship to a dichotomous dependent variable. Independent variables may be dichotomous, polytomous, or interval in their level of measurement.

Logistic regression is a method for determining the relationship between predictor variables and a dichotomously coded dependent variable. Modeling with logistic regression allows one to contrast different theoretical sets of predictor variables. Logistic regression methods are analogous to multiple linear regression methods when the dependent measure is dichotomous (coded into variables of 0 and 1). A common way of assessing the influence of an independent variable on the dependent variable is to look at the odds-ratio which is an index of how likely it is that the client scored either of the two alternatives given values of the independent variable.