Question
What does it mean that principal components are orthogonal?
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Correct Answer: B. Their directions are perpendicular and their projected scores are uncorrelated in the sample
Explanation:
Orthogonality prevents later components from repeating the same linear direction as earlier ones. For centered data, the resulting component scores have zero sample covariance.
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