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

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

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, ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

What Are Some Ways Linear Regression Can Be Applied in Business Settings?. During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and ...

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

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

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 ...

Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iteratively estimating the ...