Interactive Biplots for Visual Modelling

Heike Hofmann ()
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Heike Hofmann: Iowa State University, Department of Statistics

A chapter in COMPSTAT 2004 — Proceedings in Computational Statistics, 2004, pp 223-234 from Springer

Abstract: Abstract The link between statistical models and visualisation techniques is not very well explored, even though strong connections do exist. This paper describes how biplots — interactive biplots in particular - can be used for visual modelling. By slightly adjusting the way biplots are constructed they provide the means to display linear models. The goodness of fit of a particular model becomes instantly visible. This makes them a useful addition to the standard set of visualization tools for linear models. Biplots show predicted values and residuals. This helps, firstly, to assess a model far beyond the mere statistics and to detect structural defects in it. Secondly, biplots provide a link between the modelling statistics and the original data. Additional interactive methods such as hotselection also allow the analysis of outlier effects and behaviour.

Keywords: Data visualisation; biplots; univariate linear models; category level points; biplot axis; visual modelling (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2656-2_18

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DOI: 10.1007/978-3-7908-2656-2_18

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