Question
When is standardizing variables before PCA especially important?
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Correct Answer: C. When variables use different units or have very different variances
Explanation:
PCA based on raw covariance can be dominated by variables measured on larger scales. Standardization allows relative patterns across variables to influence the components more comparably.
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