ABSTRACT
The sequence below describes how this process problem occurs. You identify predictors that you think will tell you what the outcome will be. You check the levels of these predictors. You insert those levels in a model. You make a prediction. Then you compare your prediction to what actually happens. If the prediction and reality do not match sufficiently closely, then the root cause is the model.
