You perform a multiple linear regression analysis when you have more than one explanatory variable for consideration in your model. You can write the multiple linear regression equation for a model ...

Experienced SAS System users will find this an invaluable guide to SAS procedures for performing regression analyses. Simple and multiple variable models are discussed as well as polynomial models, ...

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

A new multivariate concept of quantile, based on a directional version of Koenker and Bassett's traditional regression quantiles, is introduced for multivariate location and multiple-output regression ...

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

First, multiple linear regression models are considered and the design matrices are allowed to be different. Second, the predictor variables are either unconstrained or constrained to finite intervals ...