Historical data can have missing values and outliers, which are data points that differ significantly from the rest of the data. Settings in the Data Attributes panel of the Predictor wizard enable you to select several ways of handling missing values and identifying and adjusting outliers. Because adjusted outliers are treated as missing values, both of these situations are discussed and handled together.
Setting Screening Options describes how to display the Screening Options dialog. The groups in this dialog list: