The sum of squares is a statistical measure used in regression analysis. Learn how to calculate the sum of squares and when to use it.

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

Statistical tolerance intervals are developed for the normal regression model. These intervals are constructed to guarantee at least P content for all possible values of the predictor variates. The ...

The residual sum of squares (RSS) is a statistical technique used to measure the variance in a data set that is not explained by the regression model.

Peiming Wang, Martin L. Puterman, Mixed Logistic Regression Models, Journal of Agricultural, Biological, and Environmental Statistics, Vol. 3, No. 2 (Jun., 1998), pp ...