For example, if X and Y are highly correlated, they could be replaced in a linear regression by X+Y and X-Y without changing the fit of the model or statistics for other regressors.

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 15, No. 3 (Sep., 1987), pp. 209-225 (17 pages) A number of methods have been proposed for dealing with extra-Poisson ...

Further statistics in dentistry: In order to introduce the concepts underlying multiple linear regression, it is necessary to be familiar with and understand the basic theory of simple linear ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Examination of the (sample) residuals resulting from the regression analysis can indicate failures of assumptions 1, 3, and 4. Such failures are not necessarily a bad thing: They can point the way to ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons or coding required.

This example shows how to build a menu system that enables you to perform nonlinear regression from a menu. Six modules are stored on an IML storage disk. After you have stored them, use this example ...