compute simple linear regression equation

To do that let's expand on the example mentioned earlier. Setting up an exampleīefore we jump into the formula and code, let's define the data we're going to use. This method is used by a multitude of professionals, for example statisticians, accountants, managers, and engineers (like in machine learning problems). Then we can predict how many topics will be covered after 4 hours of continuous study even without that data being available to us. Anomalies are values that are too good, or bad, to be true or that represent rare cases.įor example, say we have a list of how many topics future engineers here at freeCodeCamp can solve if they invest 1, 2, or 3 hours continuously. It helps us predict results based on an existing set of data as well as clear anomalies in our data. Least squares is a method to apply linear regression.

What is the Least Squares Regression method and why use it?

This will help us more easily visualize the formula in action using Chart.js to represent the data. But we're going to look into the theory of how we could do it with the formula Y = a + b * X.Īfter we cover the theory we're going to be creating a JavaScript project. There are multiple ways to tackle the problem of attempting to predict the future. Would you like to know how to predict the future with a simple formula and some data?

Compute simple linear regression equation