You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
| You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
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| See also: regression, ANOVA |   |
A powerful procedure to obtain more information on the quality of a
regression model is the analysis of variances (ANOVA). The idea behind
ANOVA is to split the variances within a model into several parts, which
then can be set in relationship to each other, thus uncovering facts about
the model. ANOVA can thus be used to check the validity a model, and the
goodness (or, lack) of fit. Basically we have to distinguish between two
cases:
The second case is the more powerful and allows the collection of
further information on the model involved.
The general scheme of the breakdown of errors is as follows
Last Update: 2004-Jul-03