Shutter Plot: A Visual Display of Summary Statistics over a Scatter Plot

dc.contributor.authorSarkar, Jyotirmoy
dc.contributor.authorRashid, Mamunur
dc.contributor.departmentMathematical Sciences, School of Scienceen_US
dc.date.accessioned2022-02-25T19:12:07Z
dc.date.available2022-02-25T19:12:07Z
dc.date.issued2020-10
dc.description.abstractWhile a dot plot of one variable is naturally extended to a scatter plot of two variables, how should a box plot of one variable be extended to two variables? We propose a shutter plot that depicts the means and the standard deviations of both variables, the two regression lines and the coefficients of correlation and determination over a scatter plot. By showing all relevant summary statistics simultaneously, a shutter plot captures all aspects of a linear relationship, including flagging potential outliers, and helps the readers make good decisions.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationRashid, M., & Sarkar, J. (2020). Shutter Plot: A Visual Display of Summary Statistics over a Scatter Plot. International Journal of Statistical Sciences, 20(2), 99–116.en_US
dc.identifier.urihttps://hdl.handle.net/1805/27976
dc.language.isoenen_US
dc.publisherUniv. of Rajshahien_US
dc.relation.journalInternational Journal of Statistical Sciencesen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectscatter ploten_US
dc.subjectregression linesen_US
dc.subjectcorrelation coefficienten_US
dc.titleShutter Plot: A Visual Display of Summary Statistics over a Scatter Ploten_US
dc.typeArticleen_US
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