14. Define outlier 15. Describe the two contexts in which outliers can be examined 16. Distinguish between univariate, bivariate, and multivariate methods for identifying outliers 17. List the four statistical assumptions on which multivariate techniques for developing statistical models are based 18. List the four basic outcomes data transformations can be used to achieve 19. Identify the number of dummy variables needed to include a nonmetric variable in a statistical model 20. Distinguish between indicator and effects coding in dummy variables