Along the way, we will learn how to build a regression, how to interpret it and how to compare different models. We’ll start with the simple linear regression model, and not long after, we’ll be dealing with the multiple regression model. We will use our typical step-by-step approach. You can quantify these relationships and many others using regression analysis. In the same way, the amount of time you spend reading our tutorials is affected by your motivation to learn additional statistical methods. “The amount of money you spend depends on the amount of money you earn.” Therefore, it is easy to see why regressions are a must for data science. Moreover, the fundamentals of regression analysis are used in machine learning. And it becomes extremely powerful when combined with techniques like factor analysis.

There are also many academic papers based on it. It is applied whenever we have a causal relationship between variables.Ī large portion of the predictive modeling that occurs in practice is carried out through regression analysis.

Excel linear regression equation