Logistic Regression

Logistic Regression is used to describe data and to explain the relationship between one dependent binary variable and one or more metric independent variables.It measures the relationship between the categorical dependent variable and one or more independent variables by estimating probabilities using a logistic function, which is the cumulative logistic distribution. Logistic regression is used widely in many fields, including the medical and social sciences. Logistic Regression is a special type of regression where binary response variable is related to a set of explanatory variables, which can be discrete and continuous.