Regression
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This collection fits user-chosen functionals to a given set of data points in one or more independent variables, performing linear or nonlinear regressions.
Requirements: Windows 98 or later.
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edit.gif (16719 bytes) linplt3d.gif (46569 bytes) linplt2d.gif (37800 bytes) Download Linear Regression
Performs
 bivariate or multivariate linear regression using the LEAST SQUARES method. The program determines the regression parameters as well as the generalized correlation coefficient and the standard error of estimate. If you wish to fit the data with an expression linear in both the parameters and the variables, then this is the program you should select from the set.
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Pending programs:

CURVILINEAR REGRESSION fits the data with an expression linear in the parameters, nonlinear in the variables (This is linear regression under a transform).

GENERAL REGRESSION fits the data with an expression nonlinear in both the parameters and the variables.

The regression is performed using the Least-Squares method. These programs determine the regression parameters as well as the generalized correlation coefficient and the standard error of estimate. Solutions produced may be filed, then retrieved and studied by programs of the FUNCTIONS AND EQUATIONS collection to find roots, (multiple) integral, (partial) derivatives, maxima and minima.

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