you need to set up some form of dichotomous prediction model, with its data (i.e. variables) and results. Using a statistics package, ROC curves can be easily generated.
ROC curve, is a graphical plot that illustrates the performance of a binary classifier system as its discrimination threshold is varied. The curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings.