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, ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

9.1 Linear Regression 9.1.1 Review of the basics The lm function in R constructs—as its name implies—a linear model from data. Recall that a linear model is of the form Y = β0+β1X1+...+βnXn Y = β 0 + ...

This article considers a regression model on a Lexis diagram of an a × p table with a single response in each cell following a distribution in the exponential family. A regression model on the fixed ...