Bivariate Analysis

Examine Relationships between Two Continuous Variables

The Bivariate platform shows the relationship between two continuous variables. It is the continuous by continuous personality of the Fit Y by X platform. The word bivariate simply means involving two variables instead of one (univariate) or many (multivariate).

The Bivariate analysis results appear in a scatterplot. Each point on the plot represents the X and Y values for a single observation. In other words, each point represents two variables. Using the scatterplot, you can see at a glance the degree and pattern of the relationship between the two variables. You can interactively add other types of fits, such as simple linear regression, polynomial regression, and so on.

Figure 5.1 Example of Bivariate Analysis 

Contents

Example of Bivariate Analysis

Launch the Bivariate Platform

The Bivariate Plot

Fitting Options

Fitting Options

Fitting Option Categories

Fit the Same Option Multiple Times

Histogram Borders

Fit Mean

Fit Mean Report

Fit Line and Fit Polynomial

Linear Fit and Polynomial Fit Reports

Fit Special

Fit Special Reports and Menus

Flexible

Fit Spline

Kernel Smoother

Fit Each Value

Fit Orthogonal

Orthogonal Fit Ratio Report

Robust

Fit Robust

Fit Cauchy

Density Ellipse

Correlation Report

Nonpar Density

Quantile Density Contours Report

Group By

Fitting Menus

Fitting Menu Options

Diagnostics Plots

Additional Examples of the Bivariate Platform

Example of the Fit Special Option

Example of the Fit Orthogonal Option

Example of the Fit Robust Command

Example of Group By Using Density Ellipses

Example of Group By Using Regression Lines

Example of Grouping Using a By Variable

Statistical Details for the Bivariate Platform

Fit Line

Fit Spline

Fit Orthogonal

Summary of Fit Report

Lack of Fit Report

Parameter Estimates Report

Smoothing Fit Reports

Correlation Report