Linear regression is a technique we use to find a relationship between two things, and then use that relationship to make predictions. For example, let's say we want to find out if there is a relationship between the amount of time a student studies for a test and the grade they get on that test. We can use linear regression to find out if there is a relationship between these two things, and if there is, we can use that relationship to predict the grade a student will get based on how much they study. As another example, let's say you want to predict how much money you will make based on how many hours you work. To do this, you would collect data and then use linear regression to find a line that best fits the data. Once you have this line, you can use it to predict how much money you will make for any number of hours you work.