A good regression model should adhere to all statistical
assumptions. In reality it is very
difficult to meet every assumption perfectly.
Nevertheless, it is important to evaluate the model with respect to the
underlying assumptions. A few tips may
be found under the four topics listed below.
ORS also supports a number of diagnostic graphs
which are useful for analyzing the quality of the fitted regression model. The supported graphs are each listed on the
Diagnostic Graphs sub-menu.