Regression
Analysis and Experimental
Design attempt to create a
regression model that allocates the variation
in the data to the factors
being tested. The difference between the
values obtained from the process and the
values predicted by the regression model
are known as the 'residuals'.
The residuals should conform to a normal
distribution. If they do not
then the patterns in the residuals can give
important insights into how well the regression
model represents the process under study
and evidence of special causes. Residual
analysis is an important part of the analysis
in regression analysis and experimental
design.
