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It is one of the most widely known modeling technique. Linear regression is usually among the first few topics which people pick while learning predictive modeling. In this technique, the dependent variable is continuous, independent variable(s) can be continuous or discrete, and nature of regression line is linear.
A type of generalized linear model that uses statistical analysis to predict an event based on known factors. A logistics regression can make predictions about whether a customer will buy a product based on age, gender, geography, and other demographic data. Also called logistic model and logit model. http://www.businessdictionary.com/definition/logistics-regression.html.