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

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 ...

Caiyan Li, Hongzhe Li, VARIABLE SELECTION AND REGRESSION ANALYSIS FOR GRAPH-STRUCTURED COVARIATES WITH AN APPLICATION TO GENOMICS, The Annals of Applied Statistics, Vol. 4, No. 3 (September 2010), pp.

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

What is linear regression? Linear regression is a basic machine learning algorithm that is used for predicting a variable based on its linear relationship between other independent variables.

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

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

R. B. Davies, B. Hutton, The Effect of Errors in the Independent Variables in Linear Regression, Biometrika, Vol. 62, No. 2 (Aug., 1975), pp. 383-391 ...

Capture relationships between data sets by graphing linear equations in Microsoft Excel 2007. Linear equations allow you to predict values within your data set and view the overall trend.