Processes | Subgroup Analysis | Weight Variable

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.
To Specify a Weight Variable:
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All of the variables in the specified input data set are displayed in the Available Variables field.
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