Abstract

In statistics, binary logistic regression analysis is a regression model where the dependent variable is a dichotomous categorical variable. The binary logistic model is used to estimate the probability of a binary response based on one or more independent variables. Binary logistic regression makes use of one or more predictor variables that may be either continuous, ordinal or categorical. It is necessary to evaluate the goodness of fit when composing a model. Multicollinearity should be investigated between independent variables when a multivariate model is composing. Selection of the covariates and correct interpretation of the results are both important. It should be considered that a statistically significant model may not always be the correct model.

Key words: binary, regression, dependent