Predictors for selection always have less than perfect validity and scatter plots, as well as other forecasting methods such as judgmental bootstrapping, and index models can help us to refine a prediction model as well as identify any mistakes. The criterion cutoff is the point separating successful and unsuccessful performers according to a standard set by the hiring organization. True positives are applied those thought to succeed on the job as a result of having passed the selection test and who have, in fact, performed satisfactorily. True negatives describe those who were correctly rejected based on the measure because they would not be successful employees.