The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Using historical data and regression analysis has its limitations in business forecasting. For example, a significant correlation between the independent and dependent variable does not ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...

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, ...

Recently, median regression models have received increasing attention. When continuous responses follow a distribution that is quite different from a normal distribution, usual mean regression models ...

In Francis Galton's 1886 article "Regression Towards Mediocrity in Hereditary Stature," Galton analyzed the heights of 928 adult children and their 205 pairs of parents to illustrate his linear ...