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The SURVEYREG Procedure |

The SURVEYREG procedure produces the following output.

- Number of Observations, which is the total number of observations used in the analysis, excluding observations with missing values
- Sum of Weights, if you specify a WEIGHT statement
- Mean of the dependent variable in the MODEL statement, or Weighted Mean if you specify a WEIGHT statement
- Sum of the dependent variable in the MODEL statement, or Weighted Sum if you specify a WEIGHT statement

- Number of Strata, if you specify a STRATA statement
- Number of Strata Collapsed, if the procedure collapses strata
- Number of Clusters, if you specify a CLUSTER statement
- Overall Sampling Rate used to calculate the design effect, if you specify the DEFF option in the MODEL statement

- R-square for the regression
- Root MSE, which is the square root of the mean square error
- Denominator DF, which is the denominator degrees
of freedom for the
*F*tests and also the degrees of freedom for the*t*tests produced by the procedure

- Stratum Index, which is a sequential stratum identification number
- STRATA variable(s), which lists the levels of STRATA variables for the stratum
- Population Total, if you specify the TOTAL= option
- Sampling Rate, if you specify the TOTAL= option or the RATE= option. If you specify the TOTAL= option, the sampling rate is based on the number of nonmissing observations in the stratum.
- N Obs, which is the number of observations
- number of Clusters, if you specify a CLUSTER statement
- Collapsed, which has the value 'Yes' if the stratum is collapsed with another stratum before analysis

If PROC SURVEYREG collapses strata, the "Stratum Information" table also displays stratum information for the new, collapsed stratum. The new stratum has a Stratum Index of 0 and is labeled `Pooled'.

- Class Variable, which lists each CLASS variable name
- Levels, which is the number of values or levels of the classification variable
- Values, which lists the values of the classification variable. The values are separated by a white space character; therefore, to avoid confusion, you should not include a white space character within a classification variable value.

- Effect, which is the effect name
- Num DF, which is the numerator degrees of freedom
for Wald's
*F*test - F Value, which is Wald's
*F*statistic - Pr > F, which is the significance probability corresponding to the F Value

- Parameter, which identifies the effect or regressor variable
- Estimate, which is the estimate of the regression coefficient
- Standard Error, which is the standard error of the estimate
- t Value, which is the
*t*statistic for testing*H*: Parameter = 0_{0} - Pr > | t |, which is the two-sided significance probability corresponding to the t Value

- Contrast, which is the label of the contrast
- Num DF, which is the numerator degrees of freedom
for Wald's
*F*test - F Value, which is Wald's
*F*statistic for testing*H*: Contrast = 0_{0} - Pr > F, which is the significance probability corresponding to the F Value

- Parameter, which is the label of the function
- Estimate, which is the estimate of the estimable liner function
- Standard Error, which is the standard error of the estimate
- t Value, which is the
*t*statistic for testing*H*: Estimable Function = 0_{0} - Pr > | t |, which is the two-sided significance probability corresponding to the t Value

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