1. Which of the following correlations represents the strongest possible relationship between X and Y:

2. When conducting multiple correlation analyses, one way to reduce the risk of type 1 error is to:

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3. The sign (+/-) of r provides information about the strength of the relationship between X and Y.

4. Suppose that you want to run 4 correlations, and you want your Experiment wise α (*EW*α) to be .05. What per-comparison α (*PC*α) would you use if you applied the Bonferroni procedure?

5. The results for a Pearson’s *r *for students’ perceived learning and their sense of community were, *r *(45) = .72, *p *= .02. What can the researcher conclude?

6. The results for a Pearson’s *r *between students’ test scores and their motivation were, *r *(24) = .32, *p *= .07. What can the researcher conclude?

7. The results for a Pearson’s *r *between students’ anxiety and their achievement were, *r *(90) = – .75, *p *= .03. What can the researcher conclude?

8. A positive correlation between two variables, X and Y, indicates that:

9. What type of graph best represents a correlation?

10. It is appropriate to make a causal inference based on Pearson’s r alone.

11. Pearson’s *r*(48) = .80, *p* = .02 can be interpreted as

12. A negative correlation between two variables, X and Y, indicates that:

13. Pearson’s *r* can also be considered as:

14. The results for a Pearson’s *r *for online, university students’ perceived learning and their sense of community were, *r *(22) = .32, *p *= .07. What can the researcher conclude?

15. What do we look at the sign of *r* (+ or -) to decide?

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