What is logistic regression in statistics?

Quantitative Methods Questions



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What is logistic regression in statistics?

Logistic regression is a statistical method used to model the relationship between a binary dependent variable and one or more independent variables. It is commonly used when the dependent variable is categorical, such as yes/no or success/failure. The logistic regression model estimates the probability of the dependent variable belonging to a particular category based on the values of the independent variables. It uses a logistic function to transform the linear regression equation into a range of 0 to 1, representing the probability of the event occurring. Logistic regression is widely used in various fields, including political science, to analyze and predict outcomes based on a set of explanatory variables.