The SURVEYREG Procedure
- Overview
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Getting Started
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Syntax
PROC SURVEYREG Statement BY Statement CLASS Statement CLUSTER Statement CONTRAST Statement DOMAIN Statement EFFECT Statement ESTIMATE Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement OUTPUT Statement REPWEIGHTS Statement SLICE Statement STORE Statement STRATA Statement TEST Statement WEIGHT Statement
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Details
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Examples
- References
| Computational Details |
Analysis of Variance (ANOVA)
PROC SURVEYREG produces an analysis of variance table for the model specified in the MODEL statement. This table is identical to the one produced by the GLM procedure for the model. PROC SURVEYREG computes ANOVA table entries by using the sampling weights, but not the sample design information about stratification and clustering.
The degrees of freedom (df) displayed in the ANOVA table are the same as those in the ANOVA table produced by PROC GLM. The Total DF is the total degrees of freedom used to obtain the regression coefficient estimates. The Total DF equals the total number of observations minus 1 if the model includes an intercept. If the model does not include an intercept, the Total DF equals the total number of observations. The Model DF equals the degrees of freedom for the effects in the MODEL statement, not including the intercept. The Error DF equals the Total DF minus the Model DF.
Multiple R-Square
PROC SURVEYREG computes a multiple R-square for the weighted regression as
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where 
is the error sum of squares in the ANOVA table
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and 
is the total sum of squares
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where 
is the sum of the sampling weights over all observations.
Adjusted R-Square
If you specify the ADJRSQ option in the MODEL statement, PROC SURVEYREG computes an multiple R-square adjusted as the weighted regression as
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where 
is the multiple R-square.
