This Month Published: 01 December 2015 Points of Significance Multiple linear regression Martin Krzywinski & Naomi Altman Nature Methods 12, 1103–1104 (2015) Cite this article ...

A standardized regression coefficient is created by transforming all variables in the model to have a mean of zero and a standard deviation of 1.0. This allows the standardized coefficients to be ...

Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been ...

In this paper, we consider the problem of determining the number of structural changes in multiple linear regression models via group fused Lasso. We show that with probability tending to one, our ...

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, ...