The statistical literature and folklore contain many methods for handling missing explanatory variable data in multiple linear regression. One such approach is to incorporate into the regression model ...

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

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

Ronald D. Armstrong, David S. Kung, Algorithm AS 135: Min-Max Estimates for a Linear Multiple Regression Problem, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 28, No.

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...