Bubble Plots as a Model-Free Graphical Tool for Continuous Variables

Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 196)


Researchers often wish to understand the relationship between two continuous predictors and a common continuous outcome. Many options for graphing such relationships, including conditional regression lines or 3D regression surfaces, depend on an underlying model of the data. The veridicality of the graph depends upon the veridicality of the model, and poor models can result in misleading graphs. An enhanced 2D scatter plot or bubble plot that represents values of a variable using the size of the plotted circles offers a model-free alternative. The R function bp3way() implements the bubble plot with a variety of user specifiable parameters. An empirical study demonstrates the comparability of bubble plots to other model-free plots for exploring three-way continuous data.


Scatter Plot Negative Interaction Data Frame Graph Type Lyer Illusion 
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© Springer-Verlag New York 2010

Authors and Affiliations

  1. 1.John Jay College of Criminal Justice of The City University of New YorkNew YorkUSA

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