Linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables).
This method is widely used as an effective algorithmic implementation of the Machine Learning model.
This page contains a list of the fundamental computational parameters involved in the Linear Regression Method.
This page contains an example structured representation for the method.