The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

where Y is the response, or dependent, variable, the Xs represent the p explanatory variables, and the bs are the regression coefficients. For example, suppose that you would like to model a person's ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 26, No. 2 (1977), pp. 136-142 (7 pages) A method of analysing paired comparisons is presented for an experiment in which ...

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 ...

It's easy to run a regression in Excel. The output contains a ton of information but you only need to understand a few key data points to make sense of your regression. You need the Analysis Toolpak ...

This is a preview. Log in through your library . Abstract Multiple regression interaction terms are appearing with increasing frequency in sociological literature but the verbal and diagrammatic ...

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 ...