Research Article

The Middle Pivot Element Algorithm

Table 5

Analysis of variance for response surface design.

SourceDFSeq SSAdj SSAdj MS -value

Regression93.979913.979910.44221 178.570.000
 Linear33.167993.167991.05600426.430.000
 Square30.808640.808640.26955108.850.000
Interaction30.003280.003280.00109 0.440.730
Residual error 80.019810.019810.00248
Lack-of-fit 50.019810.019810.00396**
Pure error30.00000 0.000000.00000

Total173.99972

R-Sq = 99.5%.
A high value of reveals that a second degree response surface design can be fitted to represent time as functions of input parameters.
An approximate model is given as
time = .378 + .284 −.032 + .011 + .071 + .057 + .053 .