Linear regression is perhaps one of the most well known and well-understood algorithms in statistics and machine learning. In this post, you will discover the linear regression algorithm, how it works, and how you can best use it in on your machine learning projects. Contents… •Linear Regression •Simple Linear Regression •Multiple Linear Regression •Assumptions •Applications L inear Regression A statistical approach for modeling relationship between a dependent variable with a given set of independent variables. We refer dependent variables as response and independent variables as features Simple Linear Regression Simple linear regression is an approach for predicting a response using a single feature. It is assumed that the two variables are linearly related. Hence, we try to find a linear function that predicts the response value(y) as accurately as possible as a function of the feature or independent variable(x). Let us consider a dataset where we have a value of response y for