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Modeling and Multivariate Methods - SAS

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448 Correlations <strong>and</strong> <strong>Multivariate</strong> Techniques Chapter 17<br />

<strong>Multivariate</strong> Platform Options<br />

Color Map<br />

The Color Map menu contains three types of color maps.<br />

Color Map On Correlations Produces a cell plot that shows the<br />

correlations among variables on a scale from red (+1) to blue<br />

(-1).<br />

Color Map On p-values Produces a cell plot that shows the<br />

significance of the correlations on a scale from p = 0 (red) to p = 1<br />

(blue).<br />

Cluster the Correlations Produces a cell plot that clusters<br />

together similar variables. The correlations are the same as for<br />

Color Map on Correlations, but the positioning of the variables<br />

may be different.<br />

These options are off by default.<br />

Parallel Coord Plot<br />

Ellipsoid 3D Plot<br />

Principal Components<br />

Outlier Analysis<br />

Item Reliability<br />

Shows or hides a parallel coordinate plot of the variables. This<br />

option is off by default.<br />

Shows or hides a 95% confidence ellipsoid around three variables<br />

that you are asked to specify the three variables. This option is off by<br />

default.<br />

This menu contains options to show or hide a principal components<br />

report. You can select correlations, covariances, or unscaled.<br />

Selecting one of these options when another of the reports is shown<br />

changes the report to the new option. Select None to remove the<br />

report. This option is off by default.<br />

Principal components is a technique to take linear combinations of<br />

the original variables. The first principal component has maximum<br />

variation, the second principal component has the next most<br />

variation, subject to being orthogonal to the first, <strong>and</strong> so on. For<br />

details, see the chapter “Analyzing Principal Components <strong>and</strong><br />

Reducing Dimensionality” on page 481.<br />

This menu contains options that show or hide plots that measure<br />

distance in the multivariate sense using one of these methods: the<br />

Mahalanobis distance, jackknife distances, <strong>and</strong> the T 2 statistic.<br />

For details, see “Outlier Analysis” on page 451.<br />

This menu contains options that each shows or hides an item<br />

reliability report. The reports indicate how consistently a set of<br />

instruments measures an overall response, using either Cronbach’s α<br />

or st<strong>and</strong>ardized α. These options are off by default.<br />

For details, see “Item Reliability” on page 453.

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