What is linear regression

The linear connection between the dependent and independent variables may be better understood using linear regression. Linear regression is a supervised learning approach that aids in the determination of a linear connection between two variables. The predictor, or independent variable, is one, and the response, or dependent variable, is the other. We strive to understand how the dependent variable varies in relation to the independent variable in Linear Regression. Simple linear regression is used when there is only one independent variable, while multiple linear regression is used when there are numerous independent variables.