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

You perform a multiple linear regression analysis when you have more than one explanatory variable for consideration in your model. You can write the multiple linear regression equation for a model ...

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 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

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

This paper is concerned with the analysis of data from a multiple regression of a single variable, y, on a set of independent variables, x 1, x 2, ..., x r. It is argued that the form of the analysis ...

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

We propose a multivariate sparse group lasso variable selection and estimation method for data with highdimensional predictors as well as high-dimensional response variables. The method is carried out ...