A scatter plot shows the relationship between two continuous variables x and y. If the relationship is linear or if the two variables have a bivariate normal distri bution, then the least squares regression lines of y on x and x on y can predict one variable as a linear function of the other. These two regression lines suffice to identify the mean vector, the coefficient of determination, Pearson’s product moment correlation coefficient, and the ratio of the standard deviations (SD). So does a coverage ellipse! Additionally, we answer: In which direction must the points be projected to maximize (or minimize) the SD of the projections
This paper describes graphical methods for multiple-response data within the framework of the multiv...
Multivariate multiple regression analysis is used to model the relationships between two sets of var...
Background: Summary data furnishing a two-sample Mendelian randomization study are often visualized ...
A scatter plot shows the relationship between two continuous variables x and y. If the relationship ...
For data on two continuous variables, how should one depict the summary statistics (means, SDs, co...
The scatterplot is the most popular tool for visualizing bivariate quantitative data. The addition o...
While a dot plot of one variable is naturally extended to a scatter plot of two variables, how shoul...
We suggest a new plot for bivariate data based on the angular display of two standardized vectors. T...
<p>Because minimum diameter cannot exceed maximum diameter, values above the diagonal line denoting ...
Biplots in Practice is a comprehensive introduction to one of the most useful and versatile methods ...
We describe depth–based graphical displays that show the interdependence of multivariate distributio...
This tutorial will cover how to find a correlation between two variables and how to create a scatter...
Biplots are the multivariate analog of scatter plots, approximating the multivariate distribution of...
The matrix shows how all the possible pairs of similarity metrics were related to each other. On the...
<p>Bivariate plot showing the relationship between overall cut-mark size and the success rates of pa...
This paper describes graphical methods for multiple-response data within the framework of the multiv...
Multivariate multiple regression analysis is used to model the relationships between two sets of var...
Background: Summary data furnishing a two-sample Mendelian randomization study are often visualized ...
A scatter plot shows the relationship between two continuous variables x and y. If the relationship ...
For data on two continuous variables, how should one depict the summary statistics (means, SDs, co...
The scatterplot is the most popular tool for visualizing bivariate quantitative data. The addition o...
While a dot plot of one variable is naturally extended to a scatter plot of two variables, how shoul...
We suggest a new plot for bivariate data based on the angular display of two standardized vectors. T...
<p>Because minimum diameter cannot exceed maximum diameter, values above the diagonal line denoting ...
Biplots in Practice is a comprehensive introduction to one of the most useful and versatile methods ...
We describe depth–based graphical displays that show the interdependence of multivariate distributio...
This tutorial will cover how to find a correlation between two variables and how to create a scatter...
Biplots are the multivariate analog of scatter plots, approximating the multivariate distribution of...
The matrix shows how all the possible pairs of similarity metrics were related to each other. On the...
<p>Bivariate plot showing the relationship between overall cut-mark size and the success rates of pa...
This paper describes graphical methods for multiple-response data within the framework of the multiv...
Multivariate multiple regression analysis is used to model the relationships between two sets of var...
Background: Summary data furnishing a two-sample Mendelian randomization study are often visualized ...