Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Multivariate analysis uses statistical tools such as multiple regression analysis, cluster analysis and conjoint analysis to determine the relationships between factors.

Private tutoring and supplemental learning are intended to enhance classroom learning, but new research led by a professor in ...

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 ...

Multiple regression models with survey data Regression becomes a more useful tool when researchers want to look at multiple factors simultaneously. If we want to know whether the racial divide ...

In this work, we propose a robust multiple-locus regression approach for analyzing multiple quantitative traits without normality assumption.

Multiple linear regression is widely used in empirically-based policy analysis. The central argument of the present paper is that much of this use is inappropriate, not because of the multiple linear ...

Regression Analysis Using JMP Course Topics This short course provides an introduction to regression analysis, a commonly used method to study the relationship between a response variable and one or ...

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.

Researchers then usually select the first few principal components that explain most of the variance of the covariates, and use multiple regression analysis to regress the outcome on the selected ...