A regression problem gave largest and smallest eigenvalues of 3.29 and .02, and the following variance decomposition proportions corresponding to the last principal component (a) Do these results...

A regression problem gave largest and smallest eigenvalues of 3.29 and .02, and the following variance decomposition proportions corresponding to the last principal component

(a) Do these results indicate collinearity problems?

(b) Which

_s, if any, are “suffering” from collinearity? Explain the basis for your conclusion.

May 13, 2022

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A regression problem gave largest and smallest eigenvalues of 3.29 and .02, and the following variance decomposition proportions corresponding to the last principal component (a) Do these results...

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