Chartered Financial Analyst Level 2
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Which of the following statements about principal components analysis (PCA) is most accurate?
Which of the following statements about principal components analysis (PCA) is most accurate?
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A
PCA transforms uncorrelated features of data into a few main, correlated composite variables.
B
An eigenvector gives the proportion of total variance in the initial data that is explained by each eigenvalue.
C
A scree plot is used to show the eigenvectors ordered from highest to lowest according to their eigenvalues.
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