The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

The linear model with classical measurement error is an alternative to the standard regression model, in which it is assumed that the independent variables are ...

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, ...

In many contexts involving multivariate linear regression models, some or all of the independent (predictor) variables are measured with error. It is argued that if ...