Modeling and Multivariate Methods - SAS

Chapter 5 Fitting Multiple Response Models 159
The Manova Report
The Manova Report
The Manova report window contains the following elements:
Table 5.1 Description of the Manova Report Window
Manova Fit red triangle
menu
Response Specification
Parameter Estimates
Least Squares Means
Partial Correlation
Overall E&H Matrices
Contains save options. See “The Manova Fit Options” on page 159.
Enables you to specify the response designs for various tests. See “Response
Specification” on page 160.
Contains the parameter estimates for each response variable (without details
like standard errors or t-tests). There is a column for each response variable.
Reports the overall least squares means of all of the response columns, least
squares means of each nominal level, and least squares means plots of the
means.
Shows the covariance matrix and the partial correlation matrix of residuals
from the initial fit, adjusted for the X effects.
Shows the E and H matrices:
• The elements of the E matrix are the cross products of the residuals.
• The H matrices correspond to hypothesis sums of squares and cross
products.
There is an H matrix for the whole model and for each effect in the model.
Diagonal elements of the E and H matrices correspond to the hypothesis
(numerator) and error (denominator) sum of squares for the univariate F
tests. New E and H matrices for any given response design are formed from
these initial matrices, and the multivariate test statistics are computed from
them.
The Manova Fit Options
Table 5.2 describes the options in the red triangle menu next to Manova Fit.
Table 5.2 Description of the Manova Fit Options
Save Discrim
Save Predicted
Save Residuals
Performs a discriminant analysis and saves the results to the data table. For
more details, see “Discriminant Analysis” on page 173.
Saves the predicted responses to the data table.
Saves the residuals to the data table.