In this post we are going to see how to implement simple linear regression from scratch in Python. Simple linear regression is a concept that you may be familiar with already from middle school or high school.

Simple linear regression is a concept that you may be familiar with already from middle school or high school. If you have ever heard of a slope and an intercept, or ** y = mx + b**, then you have already learned about simple linear regression!What is Simple Linear Regression?Simple linear regression is a statistical method that we can use to find a relationship between two variables and make predictions. The two variables used are typically denoted as

The simple linear regression equation we will use is written below. The constant is the y-intercept (**𝜷 0)**, or where the regression line will start on the y-axis. The beta coefficient (

For example, let's say we have a regression equation of ** y = 2 + 0.5x**. For every 1-unit increase in the independent variable (

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Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.