Multiple regression equations designed to explain or predict should be validated. This tutorial shows how recalculation of the coefficient of determination on hold-out sample data or new sample data ...

A joint probability, multiple comparisons significance test is developed for path analysis, multiple regression, and a correlation matrix. Tests are developed for determining the: obtained α level for ...

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 ...

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 ...