When working with interval-ratio data, the optimal strategy for predicting Y while ignoring X will be to use the________.
A) mode of the Y scores for every case.
B) median Y score for every case.
C) mean Y score for every case.
D) lowest Y score for every case.

Question

Quizplus · Accepted Answer

The mean Y score is the best choice for predicting Y while ignoring X when working with interval-ratio data because it takes into account all of the Y scores in the dataset, and is sensitive to any outliers or extreme values. The mode and median are less effective because they do not consider all of the Y scores in the dataset and may be affected by the presence of outliers. The lowest Y score is not a useful predictor because it only provides information about one particular point in the dataset and does not take into account any other factors.

When Working with Interval-Ratio Data, the Optimal Strategy for Predicting