- Linear Regression is one of the popular machine learning algorithms based on supervised learning, which is used for understanding the relationship between input and output numerical variables.
- It applies regression analysis, a predictive modeling technique that finds a relationship between the dependent and independent variables.
- It shows the linear relationship between independent and dependent variables, hence it is called a linear regression algorithm.
- Linear Regression is used for prediction of continuous numerical variables such as sales/day, temperature, etc.
- It can be divided into two categories:
- Simple Linear Regression
- Multiple Linear Regression
If we talk about simple linear regression algorithm, then it shows a linear relationship between the variables, which can be understood using the below equation, and graph plot.
