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9.1 The eigenvalues of the correlation matrix of a set of predictor variables are 4.603, 1.175, 0.203, 0.015, 0.003, 0.001 and the corresponding eigenvectors are
9.1 The eigenvalues of the correlation matrix of a set of predictor variables are 4.603, 1.175, 0.203, 0.015, 0.003, 0.001 and the corresponding eigenvectors are given in Table 9.15. Thble 9.15 Six Eigenvectors of the Correlation Matrix of the Predictors. V] 0.462 0.462 0.321 0.202 0.462 0.465 (a) How many sets of collinearity are there in this data set. Explain. (b) What are the variables involved in each set? Explain. V2 0.058 0.053 0.596 0.798 0.046 0.001 Va. 0.149 0.278 0.728 0.562 0.196 0.128 V4 0.793 0.122 0.008 0.077 0.590 0.052 V5 0.33 8 0.150 0.009 0.024 0.549 0.750 0.135 0.818 0.107 0.018 41.312 0.450
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