Accession Number:

ADA136630

Title:

A Multivariable Regression Algorithm

Descriptive Note:

Special rept.

Corporate Author:

COLD REGIONS RESEARCH AND ENGINEERING LAB HANOVER NH

Report Date:

1983-11-01

Pagination or Media Count:

45.0

Abstract:

A BASIC algorithm has been developed that is capable of fitting a user-defined regression equation to a set of data. This best-fit-curve algorithm is unique in that it allows multiple variables and multiple forms exponential, trigonometric, logarithmic, etc. to be present in a single regression equation. The least-squares regression performed determines the constants for each of the regression equation terms to provide a best-fit curve. Other programs within the algorithm set allow for data entry, editing and print-out, and plotting of the raw data and their best-fit regression curve.

Subject Categories:

  • Statistics and Probability
  • Computer Programming and Software
  • Computer Hardware

Distribution Statement:

APPROVED FOR PUBLIC RELEASE