Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns.

Getty Images, Cultura RM Exclusive/yellowdog Linear regression, also called simple regression, is one of the most common techniques of regression analysis. Multiple regression is a broader class ...

The main distinction between different types of regression model is that they are used for different types of outcome (eg, linear regression for a continuous outcomes and a logistic regression for a ...

The Department of Mathematics and Statistics at Saint Louis University offers undergraduate options in pure mathematics, applied mathematics and statistics, as well as graduate degrees in mathematics.

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 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 ...

It is assumed students have taken at least a first course in linear algebra. A solid coverage of the most important parts of the theory and application of regression models, and generalised linear ...

It is not desirable to use ordinary regression analysis for time series data since the assumptions on which the classical linear regression model is based will usually be violated. Violation of the ...