Marco Riani, Anthony C. Atkinson, Robust Diagnostic Data Analysis: Transformations in Regression, Technometrics, Vol. 42, No. 4 (Nov., 2000), pp. 384-394 ...

R. J. Carroll, David Ruppert, Transformations in Regression: A Robust Analysis, Technometrics, Vol. 27, No. 1 (Feb., 1985), pp. 1-12 ...

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, ...

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 ...

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

What Are Some Ways Linear Regression Can Be Applied in Business Settings?. During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and ...

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.