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12. Skewness is a quantitative measure of the degree of peakedness of a distribution 13. The Kolmogorov-Smirnov statistic tests the null hypothesis that the variables in the population are linear. 14. One of the characteristics of multivariate normality is that any linear combination of the variables must be nonnormally distributed. 15. If a distribution differs only moderately from normal, a log transformation should be obtained 16. Linearity presupposes that there is a straight-line relationship between two variables. 17. Residuals are defined as the portion of scores not accounted for by the multivariate analysis 18. Homoscedasticity is the assumption that the variability in scores for one continuous variable is roughly the same at all values of another continuous variable.
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Answer #1

12. False, skewness measures left or right distortion

13. False

14. True

15. True

16. True

17. True

18. True

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