Question
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Which statements are correct with respect to PCA?

Answerlist
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* the eigenvalue problem is solved by converting the covariance matrix into a matrix with linear independent variables
* the eigenvalue problem is solved by converting the covariance matrix into a matrix with variables that maximise variation
* the eigenvectors resulting from the analysis are only stretched or shrunk with the eigenvalues when multiplied with the raw data entering the analysis
* eigenvalues give the variance that each principal component represents
* eigenvalues give the variance that each variable explains of the principal component


Meta-information
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exname: PCA statements
extype: mchoice
exsolution: 10010
exshuffle: TRUE
