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Modeling and Multivariate Methods - SAS

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Chapter 5 Fitting Multiple Response Models 165<br />

<strong>Multivariate</strong> Tests<br />

7. Click on the Choose Response button <strong>and</strong> select Identity.<br />

8. Click Run.<br />

9. From the red triangle menu next to Whole Model, select Test Details.<br />

10. From the red triangle menu next to Whole Model, select Save Canonical Scores.<br />

Figure 5.6 Canonical Correlations<br />

The output canonical variables use the eigenvectors shown as the linear combination of the Y variables. For<br />

example, the formula for Canon[1] is as follows:<br />

0.02503681*chins + 0.00637953*situps + -0.0052909*jumps<br />

This canonical analysis does not produce a st<strong>and</strong>ardized variable with mean 0 <strong>and</strong> st<strong>and</strong>ard deviation 1, but<br />

it is easy to define a new st<strong>and</strong>ardized variable with the calculator that has these features.<br />

<strong>Multivariate</strong> Tests<br />

Example Choosing a Response<br />

1. Complete the steps in “Example of a Multiple Response Model” on page 157.<br />

2. Click on the Choose Response button <strong>and</strong> select Identity.<br />

3. Click Run.

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