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

Perhaps the most fundamental type of R analysis is linear regression. Linear regression can be used for two closely related, but slightly different purposes. You can use linear regression to predict ...

Here, I have had to manually create a temporary AirEntrainDummy variable in order to get the regression line to plot correctly. But you can see the basic idea: Each measure of concrete strength falls ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal. This post will show how to estimate and interpret linear ...

The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis. We will continue to use the ...