Regression analysis / curve fitting is one of KaleidaGraph's greatest strengths. But a large number of KaleidaGraph users have expressed a weakness in this area of science. We hope the information below will provide you with more insight into curve fitting.

General Regression Analysis Information

An Introduction to Regression Analysis by Alan O. Sykes Correlation, and regression analysis for curve fitting by the Biology Teaching Organization of Edinburgh University Regression Analysis: Basic Concepts by Allin Cottrell Introduction to Regression from the Princeton University Library based on a document by Deborah R. Abrams A Statistics Primer: Correlation and Regression Analysis by Greenfield, Kuhn & Wojtys

Model Library for NonLinear Least Squares Curve Fitter by John C. Pezzullo Curve Fitting by the Center for Innovation in Engineering Education Vanderbilt University Selecting the Best Curve Fit by Melissa M. Kiser and John W. Dolan Linear Least Squares Regressions by NIST LOESS (aka LOWESS) Statistical Method for Model Building by NIST Curve Fitting Made Easy by Marko Ledvij

Additional Information

Parametric Cost Estimating Handbook

Regression Analysis

Regression Analysis in KaleidaGraph
The following document is a complete guide of how to perform regression analysis in KaleidaGraph. Curve fitting information from our manual, the help system, and the tech support web site have been combined into one handy guide. The instructions have been re-organized and enhanced with plenty of additional, helpful details.

The KaleidaGraph Guide to Curve Fitting (PDF)