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

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, state where they live and ...

Example 30.2: Regression with Mileage Data A car is tested for gas mileage at various speeds to determine at what speed the car achieves the greatest gas mileage.

In this example, PROC REG computes regression parameter estimates for the Fitness data. (See to create the Fitness data set.) The parameter estimates are output to a data set and used as scoring ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons or coding required.

Linear regression captures the relationship between two variables—for example, the relationship between the daily change in a company's stock prices and the daily change in trading volume.