Depicting Bivariate Relationship with a Gaussian Ellipse
| dc.contributor.author | Sarkar, Jyotirmoy | |
| dc.contributor.author | Rashid, Mamunur | |
| dc.contributor.department | Mathematical Sciences, School of Science | en_US |
| dc.date.accessioned | 2023-02-17T21:50:02Z | |
| dc.date.available | 2023-02-17T21:50:02Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | For data on two continuous variables, how should one depict the summary statistics (means, SDs, correlation coefficient, coefficient of determination, regression lines) so that their values can be read off easily from the depiction and potential outliers can be flagged also? We propose the Gaussian covariance ellipse as an answer that will benefit all users of statistics. | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.identifier.citation | Sarkar, J., & Rashid, M. (2021). Depicting Bivariate Relationship with a Gaussian Ellipse. Statistics and Applications, 19(2), 77–87. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1805/31310 | |
| dc.language.iso | en_US | en_US |
| dc.relation.journal | Statistics and Applications | en_US |
| dc.rights | Publisher Policy | en_US |
| dc.source | Publisher | en_US |
| dc.subject | Five-number summary | en_US |
| dc.subject | Least squares lines | en_US |
| dc.subject | Bivariate normal distribution | en_US |
| dc.title | Depicting Bivariate Relationship with a Gaussian Ellipse | en_US |
| dc.type | Article | en_US |