VIDEO: It's easy to run a regression in Excel and you only need to understand a few data points to make sense of the results.

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

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

Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

Julie Barber, Simon Thompson, Multiple regression of cost data: use of generalised linear models, Journal of Health Services Research & Policy, Vol. 9, No. 4 (October 2004), pp. 197-204 ...

Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

In the context of the classical linear model, the problem of comparing two arbitrary hypotheses on the regression coefficients is considered. Problems involving nonlinear hypotheses, inequality ...

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, ...