Conceptual Questions

8. A colleague of yours is completing a final report on the causes of the frequency of cyberbullying. In this report, she is asked to identify the causes that most strongly impacted the frequency of cyberbullying. She conducts an OLS regression.  What statistic do you advise her to use in her discussion?  Why?

9. You are in the process of completing a study of the causes of cyberbullying.  You ran two OLS regression models to guide your analysis.  In model 1, your adjusted R2 was .46 with 7 predictor variables. In model 2, your adjusted R2 was .33 with 9 predictor variables?  Knowing nothing else, which model do you use when discussing your results?  Why?

10. Your colleague produces the following two scatterplots. When comparing the two, what conclusion do you draw about the R2 for the scatterplot on the left compared to the R2 for the scatterplot on the right?  Why did you come to the conclusion that you did?

11. What information is provided by calculations of a Pearson’s Correlation Coefficient?

12. What information is provided by calculations of a Multivariate Ordinary Least Squares Regression?

13. Why would researchers believe that an ordinary least squares regression is superior to a partial correlation coefficient?

14. Referring back to Table 1, write one sentence that encapsulates the major finding of the data that are reported.