Introduction: What is Linear Regression and how does it work?
Linear regression is a statistical method to make predictions. It is a type of supervised machine learning model which use statistical analysis for predicting the values as per the given data.
The main goal of linear regression is to find the line which gives the minimum mean squared error. The line represents the linear relation between independent variable(x) and dependent variable{y}.
Evaluating types of linear regression
There are mainly three types of linear regression:
1. Simple linear regression
When there is only one independent variable in linear regression model is said to be simple linear regression model. In this type, there is only one weight (coeffients or slope).
2. Multiple linear regression
When there is more than one independent variable in linear regression model is said to be simple linear regression model. In this type, there is more than…