Types Of Linear Regression Explained With Python Examples
Linear regression predicts continuous dependent variable based on one or more independent variables. Types include simple, multiple & polynomial linear regression. Python implementation using numpy & matplotlib is provided for each type.
Linear regression is a fundamental statistical method used to predict a continuous dependent variable (the target variable) based on one or more independent variables. This technique assumes a linear relationship between the dependent and independent variables, meaning that changes in the independent variables result in proportional changes in the dependent variable. In this article, we'll explore the types of linear regression and demonstrate how to implement it in Python. Types of Linear Regression There are three main types of linear regression: Simple Linear Regression: This inv...