Understanding Linear Regression

Linear regression is a regression model which outputs a numeric value. It is used to predict an outcome based on a linear set of input. As you can guess this function represents a linear line in the coordinate system. The hypothesis function (h0) approximates the output given input. A linear regression model can either represent a univariate or a multivariate problem.