Depicting Bivariate Relationship with a Gaussian Ellipse

被引：0

作者：

Sarkar, Jyotirmoy ^{[1
]}

Rashid, Mamunur ^{[2
]}

机构：

[1] Indiana Univ Purdue Univ, Dept Math Sci, Indianapolis, IN 46202 USA

[2] DePauw Univ, Dept Math, Greencastle, IN 46135 USA

来源：

STATISTICS AND APPLICATIONS | 2021年 / 19卷 / 02期

关键词：

Five-number summary; Variance; Least squares lines; Bivariate normal distribution; x-; y- and regression outliers;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：77 / 87

页数：11

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