Calculating Linear Regression and Linear Best Fit an In-depth Tutorial with Math and Python

This tutorial's code is available on Github and its full implementation as well on Google Colab. Simple linear regression is a statistical approach that allows us to study and summarize the relationship between two continuous quantitative variables. Simple linear regression is used in machine learning models, mathematics, statistical modeling, forecasting epidemics, and other quantitative fields. Out of the two variables, one variable is called the dependent variable, and the other variable is called the independent variable. Our goal is to predict the dependent variable's value based on the value of the independent variable.