What distinguishes a logistic regression model from the linear regression model is that the outcome variable in logistic regression is binary or dichotomous. This difference between logistic and linear regression is reflected both in the form of the model and its assumptions. Once this difference is accounted for, the methods employed in an analysis using logistic regression follow, more or less, the same general principles used in linear regression.
- Chapter 1: Introduction to the Logistic Regression Model
- from Applied Logistic Regression, 3rd Edition
- Publisher: John Wiley & Sons
- Released: April 2013
difference between Logistic and Linear regression
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