What Is Linear Regression and How Does it Work? At the most basic level, linear regression relies on one variable—the independent variable—to predict the value of another variable: the ...

Duration: 12h. 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 ...

Advanced Course Search; Print My Catalog; Id: 008463 Credits Min: 3 Credits Max: 3 Description. Model building via linear regression models. Method of least squares, theory and practice. Checking for ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

A solid coverage of the most important parts of the theory and application of regression models, and generalised linear models. Multiple regression and regression diagnostics. Generalised linear ...

Regression is a method to estimate parameters in mathematical models of biological systems from experimental data. To ensure the validity of a model for a given data set, pre-regression and post ...

In this article, you'll learn the basics of simple linear regression, sometimes called 'ordinary least squares' or OLS regression—a tool commonly used in forecasting and financial analysis. We ...

Applied Regression Analysis and Generalized Linear Models. Frees, E.W. (2010). Regression Modeling with Actuarial and Financial Applications . Assessment. Exam (85%, duration: 2 hours) in the summer ...