Catherine Falls Commercial/Getty Images Linear regression is a type of data analysis that considers the linear relationship between a dependent variable and one or more independent variables.

Creating a “line of best fit” between two variables involves a fairly simple computation known as linear regression. Once created, the regression formula can be used to predict the value of one ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics ...

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 the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Getty Images, Cultura RM Exclusive/yellowdog Linear regression, also called simple regression, is one of the most common techniques of regression analysis. Multiple regression is a broader class ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...