Basic Analysis • Bivariate Analysis
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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 4.24 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 Regression 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

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Help created on 7/12/2018