This article is meant to explain the regression tree machine learning model without any buzzwords and scientific expressions, so you don't need any pre-requisite knowledge or a Computer Science/Math degree to understand it. As one of the most commonly used machine learning models, a decision tree is usually used for classification purposes. However, it can also be used to predict continuous numeric values. In this article, I am going to introduce a specific type of decision tree s-- the regression tree. Don't worry if you're not a Data Scientist or Data Analyst, I will try my best to help you understand how regression trees are built without any formulas and equations.