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

Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.

It’s important to remember that omitted variable bias and correlated errors are just two potential problems with regression analysis. Regression models are also not immune to issues associated with ...

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 ...

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

A regression analysis is a statistical technique designed to show the relative importance of each of a number of independent variables in predicting a phenomenon of interest– in this case, the ...

Predicting the Future The most common use of regression in business is to predict events that have yet to occur. Demand analysis, for example, predicts how many units consumers will purchase.

Using advanced techniques to make better predictions can help you stand out. Here's a step-by-step guide to learning how to do a regression analysis.

Course Topics Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous ...