Linear Regression

Regression is a method to predict the target variable y which possesses the best linear relationship between the given independent and dependent values. The major goal of regression is to inspect the relationship between the input feature x with that of the target value y and then outputs a continuous-valued output for the unknown value given as the input. Simple Linear regression uses a single independent variable to predict a dependent variable by fitting the best linear relationship. Here'y' is the dependent variable. The term'bo' is the constant.