1. A multivariate mean; in discriminant analysis, the centroid of a group corresponds to the mean values of the scores on D1, D2, and any other discriminant functions is known as:
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Correct Answer:
Centroid
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2. Canonical Correlation (rc) is the correlation between scores on a discriminant function and group membership.
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Correct Answer:
True
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3. In the context of discriminant analysis, an eigenvalue is a value associated with each discriminant function is known as:
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Correct Answer:
Both
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4. Just as univariate analysis of variance assumes equality of the population variances of the dependent variable across group is known as:
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Correct Answer:
Both
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5. Dimension Reduction Analysis is a discriminant analysis that yields several discriminant functions, the data analyst may think of each discriminant analysis as a “dimension” along which groups differ.
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Correct Answer:
True
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6. ____________ ia an overall goodness-of-fit measure used in discriminant analysis. It is the most widely used multivariate test statistic for the null hypothesis shown in multivariate analysis of variance: H0: μ1 = μ2 = ··· = μk.
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Correct Answer:
Wilks’ Lambda (Λ)
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7. These are the weights given to individual predictor variables when we compute scores on discriminant functions called _____________.
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Correct Answer:
Discriminant Function Coefficients
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8. A graphical representation of the scores of individual cases on discriminant functions (SPSS plots only scores on the first two discriminant functions, D1 and D2) is known as:
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Correct Answer:
Territorial Map
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9. When the predicted group membership for a case (on the basis of the values of discriminant function scores or a binary logistic regression) is not the same as the actual group membership for that case, this is referred to as a classification error.
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Correct Answer:
True
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10. Odds involve comparison of the number of cases for two possible outcomes.
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Correct Answer:
True
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11. A weighted linear combination of scores on discriminating variables; the weights are calculated so that the discriminant function has the maximum possible between-groups variance and the minimum possible within-groups variance is called _____________ .
Answer
Correct Answer:
Discriminant Function
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12. In analyses such as regression and discriminant analysis, raw scores or z scores on variables are summed using a set of optimal weights (regression coefficients in the case of multiple regression and discriminant function coefficients in the case of discriminant analysis) is known as:
Answer
Correct Answer:
Optimal Weighted Linear Composite
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