Which of the following statements pertaining to the index of predictive association is FALSE? A) The index of predictive association is useful when nominally scaled data are available and when we are interested in the degree of improvement in predictions of the criterion variable brought about by considering the classes of the predictor variable. B) The index of predictive association is equal to one, if the B classification is of no help in predicting the A classification. C) The index of predictive association g_A.B. measures the relative decrease in the probability of error by taking account of the B classification in predicting the A classification over the error of prediction with the B classification unknown. D) a and b above E) a and c above

Question

Quizplus · Accepted Answer

The index of predictive association is designed to measure the improvement in prediction accuracy when considering the classes of the predictor variable. Therefore, it is incorrect to say that the index is equal to one if the B classification is of no help in predicting the A classification. In fact, if the B classification provides no improvement in prediction, the index would typically be closer to zero, indicating no predictive association between the two classifications.

Which of the Following Statements Pertaining to the Index of Predictive