Final Exam sample questions

Multiple Choice (1 pt each)

  1. Taylor is refining a multiple regression model in which they predict \(Y\) using three predictor variables \(X_{1}\), \(X_{2}\) and \(X_{3}\). Which R function would be most appropriate to use to determine which of the three predictor variables should be removed from the model?
  1. remove()
  2. ncvTest()
  3. step()
  4. refine()
  1. In ANOVA, an omnibus F statistic can take on values:
  1. between -1.0 and 1.0
  2. between 0.0 and 1.0
  3. between 0.0 and infinity
  4. between -infinity and infinity
  1. An unbalanced design is one in which:
  1. the number of levels in each factor is different
  2. the number of participants in each group is different
  3. not every level of factor A is tested in each level of factor B
  4. none of the above

Written Answers

  1. In a two-way between subjects factorial ANOVA, list the omnibus test(s) and explain what they are testing. (6 points)

  2. Describe three advantages of a repeated measures design over a between-subjects design. (6 points)