Typically, a regression analysis is done for one of two purposes ... [1] Why is it valuable to be able to unravel linear relationships? Some interesting relationships are linear, essentially all ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

In this module, we will learn how to fit linear regression models with least squares. We will also study the properties of least squares, and describe some goodness of fit metrics for linear ...

have a thorough conceptual understanding of linear and logistic regression; appreciate the common threads running through these methods, including stratified analysis, different options for handling ...

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, ...

If you are a researcher or student with experience in multiple linear regression and want ... the many generalizations of the logistic regression model. The following topics are covered: binary logit ...

An introduction to the theory and application of generalised linear models for the analysis of continuous, categorical and count data, and regression models for survival data. Topics include: general ...