(c) Redundancy is mcasured by the prochuct of th Rsqre of yi given x ivided by p

Question

(c) Redundancy is mcasured by the prochuct of th Rsqre of yi given x ivided by p (f) If the random voctor X has menn ,,r and covariance matrix random voctor Y has no n ,,Y and covariance natrix )', then X-Y will have mean ,, x-}and covariance natrix Er + x, and tho riance matrix, the product of cigonvalucs oquals to tho (8) In tho variaaco-covar genera lized variance. (h) Statistieal dista uce clocs not account for difference in variation& the prosent of correlation (i) The Likelihood Ration Test the division of the linirstricted by the stricted naximun likelihood ostimators

Explanation / Answer

e) True

f) True

g) False since the sum of the eigenvalues of a covariance matrix is equal to the sum of the variances of the variables in the data, i.e., the trace of

h) True

i) True

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