The underlying assumption in a discriminant analysis is that the independent variables are assumed to be normally distributed.
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Q10: Larger values of Wilks lambda indicate that
Q11: Discriminant analysis techniques are used to classify
Q12: The objective of a discriminant analysis is
Q13: Factor analysis is usefully employed when there
Q14: Discriminant analysis involves the maximization of the
Q16: Regression and Discriminant analyses are computationally similar
Q17: Factor loadings are a measurement of the
Q18: A factor is a variable or construct
Q19: In discriminant analysis, predictors with a large
Q20: The group mean, in a discriminant analysis,
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