Principal components analysis is most appropriate when you have theoretically or empirically based predictions.

Name: Principal components analysis is most appropriate when you have theoretically or empirically based predictions.
Brand: Quizplus
Rating: 4.9 (36 reviews)

Question

Quizplus · Accepted Answer

Principal components analysis (PCA) is a data reduction technique used to identify patterns in data without requiring theoretical or empirical predictions. It is exploratory and does not rely on prior assumptions.

Principal Components Analysis Is Most Appropriate When You Have Theoretically