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

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

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

The first set of R commands in Figure 1 show an example of linear regression. Linear regression is a statistical technique that's used to describe the relationship between a numeric variable, called ...

Statistical tolerance intervals are developed for the normal regression model. These intervals are constructed to guarantee at least P content for all possible values of the predictor variates. The ...