Weight Variable

Use this field to specify the optional variable that indicates the relative weights for a weighted least squares fit.

Weight Variables

If the weight value is proportional to the reciprocal of the variance for each observation , then the weighted estimates are the best linear unbiased estimates (BLUE). Values of the weight variable must be nonnegative . If an observation’s weight is zero , the observation is deleted from the analysis. If a weight is negative or missing , it is set to zero (0), and the observation is excluded from the analysis.

If you specify a Weight Variable , it overrides whatever specification you make for Prior Probabilities / Prevalences . If you have both weights and prior probabilities, multiply them together to form a new weight variable and specify it here.

To Specify a Weight Variable:

Specify the Primary Input SAS Data Set .

All of the variables in the specified input data set are displayed in the Available Variables field.

Examine the list of available variables.

Highlight a variable.

Click to add the highlighted variable to the Weight Variable field.