Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

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 ...

The Annals of Statistics, Vol. 26, No. 3 (Jun., 1998), pp. 1147-1169 (23 pages) This paper provides a comparative sensitivity analysis of one-step Newton-Raphson estimators for linear regression. Such ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 60, No. 1 (1998), pp. 103-114 (12 pages) A linear regression method to predict a scalar from a discretized smooth ...