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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.
The simplest regression model is the bivariate one, in which there is one response or dependent variable, and one predictor or independent variable, and the relationship between the two is represented by a straight line.