Question ======== Which statements are correct with respect to PCA? Answerlist ---------- * 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 ================ exname: PCA statements extype: mchoice exsolution: 10010 exshuffle: TRUE