Abstract #301440

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JSM 2002 Abstract #301440
Activity Number: 20
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 2:00 PM to 3:50 PM
Sponsor: Section on Physical & Engineering Sciences*
Abstract - #301440
Title: Multiple Regression Modeling of Aerothermal Data Sets
Author(s): Douglas DePriest*+ and Carolyn Morgan and Richard Thompson
Affiliation(s): Hampton University and Hampton University and National Aeronautics & Space Administration
Address: Queen & Tyler Streets, Hampton, Virginia, 23668, USA
Keywords: Multiple Regression ; Engineering Data Sets ; Prediction ; Modeling ; Residual Analysis
Abstract:

This paper describes several regression analysis techniques used to analyze and model spherical stagnation heating data sets observed in aerothemal experiments. The objective is to identify statistical models that are suitable for modeling and prediction when using spherical stagnation heating data. Some of the regression techniques include stepwise regression, best subset selection, regression trees, contour plots, 3-D plots, and other graphical methods, including residual plots. Comparisons are made to facilitate model selection.

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Revised March 2002