Objective: To develop, validate, and cross-validate a formula for predicting resting energy expenditure (REE) in African-American and European-American women. Design: A cross-sectional study of REE in ...

In order to improve the prediction accuracy of deep seafloor manganese nodule resource content, a prediction method of deep seafloor manganese nodule resource content based on multiple regression ...

In this article, a Bayesian model for a constrained linear regression problem is studied. The constraints arise naturally in the context of predicting the new crop of apples for the year ahead. We ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. If you've ever ...

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 ...

I'm currently editing a short scientific book full of formulas. The author's original files had picture files for equations, so I had to remake all of them in MS Equation Editor. I'm on Word 2003 (not ...