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Applied Regression Exam
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Applied Regression Exam
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25 Questions

1. What conditions need to be check for two-way ANOVA? (4)

2. What is the treatment effect?

3. What does Tukey's Non-additivity Plot tell you? (2)

4. What is a block?

5. What are factors of interest?

6. What is a balance design?

7. What is the explanatory factor?

8. For Tukey's Non-additivity plot, the larger the sample size, the less we can trust the fitted slope (T/F)

9. Randomized Complete Block Design allows comparison without the added noise of differences (T/F)

10. What are the 2 main uses for an Anscombe Box Plot?

11. What chapter contains how to calculate everything you need for the F-statistic in one way anova?

12. What is df(error) for a block design?

13. How many units should be in a block?

14. What is Levene's test?

15. SSObservedValues (for block design) =

16. What happens if you ignore blocks?

17. SSTotal = (2 things)

18. What is the experimental unit?

19. What are 3 signs that log transformation might be useful?

20. df(Total) =

21. 2 computational ways to check the equal variance conditions?

22. How to draw an Anscombe Box Plot?

23. What is the df(total) for a block design?

24. df(ObservedValues) =

25. What are the 3 kinds of randomized complete block designs?

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