NCSS

Introduction

Regression analysis refers to a group of techniques for studying the relationships among two or more variables. NCSS makes it easy to run either a simple linear regression analysis or a complex multiple regression analysis. You can perform a regression analysis with modern graphical and numeric residual analysis. Major options include multiple regression, stepwise regression, correlation matrix, residual analysis, robust regression, all-possible regressions, response surface regression, Poisson regression, Cox regression, ridge regression, Weibull regression, and logistic regression.

Features

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Minimum System Requirements
Click on one of the links below to view the minimum system requirements for NCSS and PASS products:
PASS 11
PASS 2008
NCSS 2007
Previous Versions

Accuracy
We at NCSS have put a great deal of effort into finding the most accurate algorithms possible. The programs have been tested and verified over and over, both by us and by our customers. Each routine has been verified against textbooks, journal articles, and, where possible, other software. NCSS and PASS are some of the most accurate statistical analysis programs available. NCSS and PASS calculate with seventeen-digit, double-precision accuracy.

Guarantee
If you are not completely satisfied with an NCSS product during the first 30 days for any reason, return the program for a full, prompt refund (excluding shipping).