Linear regression is a method used to understand how one thing changes based on another, like how studying affects test scores. It helps us figure out how well one thing can predict another. Scientists use this method to see if a change in one thing can explain a change in another. A high number called R2 means the prediction is strong. The researchers in this article show us how to predict outcomes using this method and how to tell if the results are important. By running tests in special programs, the researchers find out how much the variables are related and if the relationship is significant. This helps to make sense of complex information in a way that is easy to understand.