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, ...

The Data Science Lab Linear Ridge Regression Using C# Implementing LRR from scratch is harder than using a library like scikit-learn, but it helps you customize your code, makes it easier to integrate ...

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?

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

This month we'll look at classification and regression trees (CART), a simple but powerful approach to prediction 3. Unlike logistic and linear regression, CART does not develop a prediction equation.

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, ...

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

Affinity regression followed by linear reconstruction enabled accurate prediction of probe-level binding intensities from homeodomain sequence (Supplementary Note).

Robust Estimation for Linear Regression with Asymmetric Errors Ana M. Bianco, Marta Garcia Ben and Víctor J. Yohai The Canadian Journal of Statistics / La Revue Canadienne de Statistique , pp. 511-528 ...

The Review of Economics and Statistics is an 84-year old general journal of applied (especially quantitative) economics. Edited at Harvard University's Kennedy School of Government, The Review has ...