Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

The sum of squares is a statistical measure used in regression analysis. Learn how to calculate the sum of squares and when to use it.

Linear regression is a fundamental statistical method used to model and understand the relationship between different variables. At its heart, it aims to find the best-fitting straight line that ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

The least-squares criterion is a method of measuring the accuracy of a line in depicting the data that was used to generate it. That is, the formula determines the line of best fit.

Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.