Instructions: Bivariate Pearson, Spearman Correlations and Linear Regression DB 820
Answer the short-answer questions below. The answers must demonstrate course-related knowledge and assertions must be supported with scholarly citations (minimum of 3) in the 7th APA (A MUST) edition format. Minimum word count for all short answers cumulatively is 250 words.
Refer to the chapters attached (mainly chapter 8).
Do NOT retype the questions. Use only the number of the question (i.e.: D6.1 then the answer)
INSERT SHORT ANSWER TO THE QUESTION LISTED BELOW
Respond to the following short answer questions from Morgan, Leech, Gloeckner, & Barrett textbook:
D6.1 Interpreting Correlations. In Output 9.2, what do the correlation coefficients tell us? What is the r^2 for the Pearson correlation and what does it mean?
Compare the Pearson and Spearman correlations on both correlation size and significance level and explain your comparison. Explain when you should use which type of correlation in this case.
D6.2 Interpreting Regressions.
Using Output 9.4, find the regression coefficient (weight) and the standardized regression (Beta) coefficient. How do these compare to the correlation between the same variables in Output 9.3? What does the regression coefficient (weight) tell you?
Using the variables in Problem 9.4, develop a research question in which the Pearson correlation would be more appropriate than the bivariate regression. Using the variables in Problem 9.4, develop a research question in which the bivariate regression would be more appropriate than the Pearson correlation.
References (in addition to the scholarly articles, you must include the following)
Morgan, G., Leech, N., Gloeckner, G., Barrett, K. (2013). IBM SPSS for Introductory Statistics. (5th Ed.). New York, NY
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