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

To transform the predictors in the model, we use a change-point model, or "change-point transformation," which can yield more interpretable models and transformations than the standard Box-Tidwell ...

Julie Barber, Simon Thompson, Multiple regression of cost data: use of generalised linear models, Journal of Health Services Research & Policy, Vol. 9, No. 4 (October 2004), pp. 197-204 ...

Before building my model, I want to step back to offer an easy-to-understand definition of linear regression and why it’s vital to analyzing data. What is linear regression?

Keywords: statistical model selection, assumptions, linear regression, ANOVA, machine learning, homoscedasticity, normality, independence, data transformation, non-parametric tests, robust ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

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

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.