Last month we explored how to model a simple relationship between two variables, such as the dependence of weight on height 1. In the more realistic scenario of dependence on several variables, we can ...

The first step in running regression analysis in Excel is to double-check that the free plugin Data Analysis ToolPak is installed. This plugin makes calculating a range of statistics very easy. It is ...

A quantitative study is made of the bias in the usual estimate of the linear correlation coefficient and of the relative efficiency of the estimated regression, when a certain type of selective ...

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, ...

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...

An international team of mathematicians, led by Lehigh University statistician Taeho Kim, has introduced an innovative method ...

Aims To investigate optic nerve head (ONH) parameters in highly myopic individuals with open-angle glaucoma (OAG) and their ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...