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Shrinkage in linear discriminant function analysis can be minimalized by having

ID: 3228579 • Letter: S

Question

Shrinkage in linear discriminant function analysis can be minimalized by

having the number of subjects in the smallest group be 10 times the number of predictor variables

having the number of subjects in the largest group be 10 times the number of predictor variables

having the number of subjects in the smallest group be at least 30

having the number of subjects in both groups be at least 150

A)

having the number of subjects in the smallest group be 10 times the number of predictor variables

B)

having the number of subjects in the largest group be 10 times the number of predictor variables

C)

having the number of subjects in the smallest group be at least 30

D)

having the number of subjects in both groups be at least 150

Explanation / Answer

Shrinkage can be minimized by having the number of subjects in the small group be 10 times the number of predictor variables. So option (A) is the correct choice.

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