The most basic regression relationship is a simple linear regression. In this case, E (Y | X) = μ (X) = β0 + β1X, a line with intercept β0 and slope β1.

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

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 ...