Question
What does an eigenvalue associated with a principal component quantify?
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Correct Answer: C. The variance captured by that component
Explanation:
Each PCA eigenvalue measures the amount of sample variance along its eigenvector direction. Larger eigenvalues identify more informative variance directions.
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