In discriminant analysis, predictors with a large coefficient contribute more to the discriminating power of the function.
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Q14: Discriminant analysis involves the maximization of the
Q15: The underlying assumption in a discriminant analysis
Q16: Regression and Discriminant analyses are computationally similar
Q17: Factor loadings are a measurement of the
Q18: A factor is a variable or construct
Q20: The group mean, in a discriminant analysis,
Q21: A nonhierarchical clustering program is one in
Q22: Common factor analysis focuses on shared variance,
Q23: The first factor accounts for more of
Q24: An attractive feature of principal components analysis
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