Linear Regression is one of the most commonly used regression modeling techniques. In LR, the dependent variable is continues, where independent variables can be continuous or discreet depending on the equation. Linear Regression establishes a relationship between dependent variable (Y) and one or more independent variables (X) using a best fit straight line (also known as regression line).