Multivariate Analysis: Correlation Analysis |
The Plots Tab
You can use the Plots tab (Figure 25.3)
to create plots that graphically display
results of the analysis.
These plots do not add any variables to the data table.
The following plots are available:
- Pairwise correlation plot
-
creates a bar chart showing the Pearson correlation between pairs of variables.
- Matrix of pairwise scatter plots
-
creates a matrix of scatter plots
showing bivariate data for pairs of
variables. If you do not specify any X variables in the X Variables
(With) list on the Variables tab, then
you will get a lower triangular array of plots. If you do specify X
variables, then you will get a rectangular array of plots.
The inset added to each plot contains the following:
- the Pearson correlation coefficient
- the number of nonmissing observations for each pair of variables
- the -value under the null hypothesis of zero correlation
- Add prediction ellipse
-
adds a prediction ellipse
to the scatter plot. The ellipse is
calculated under the assumption that the data are bivariate normal. A
prediction ellipse is a region for predicting a new observation in the
population. It also approximates a region containing a specified
percentage of the population.
- Confidence level
-
specifies the confidence level
for the prediction ellipse.
- Shade plot background by confidence level
-
specifies that the background of each scatter plot be shaded according
to a nested family of prediction ellipses.
Copyright © 2008 by SAS Institute Inc., Cary, NC, USA. All rights reserved.