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

You may feel that multiple linear regression looks much more complicated than simple linear regression. The amazing fact is that we can still handle such a model with lm(). More importantly, most ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

AirEntrain is a categorical (yes/no) variable and cannot be used in regression without transforming it to a numerical {0,1} dummy/indicator variable. We can use our recoding skills from Lesson 5 to do ...

Linear regression is a type of data analysis that considers the linear relationship between a dependent variable and one or more independent variables.

Response variable selection arises naturally in many applications, but has not been studied as thoroughly as predictor variable selection. In this paper, we discuss response variable selection in both ...

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 ...