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 ...

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

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, ...

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.

Linear regression analyzes two separate variables in order to define a single relationship. In chart analysis, this refers to the variables of price and time.