Topic: Bivariate Pearson, Spearman Correlations and Linear Regression PEER RESPONSE

Develop a response the to post below. The reply must summarize the author’s findings and indicate areas of agreement, disagreement, and improvement. It must be supported with at least (2) scholarly citations in 7th Edition APA format and corresponding list of references.

Please refer to the chapters attached (mainly chapter 9).

Do NOT retype the questions. Use only the number of the question (i.e.: D6.1 then the answer)

Reply to D6.1 and D6.2below (CF)

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

Type of service : Academic Paper Writing
Type Of Assignment : Essay
Subject : Statistics
Pages / words : 1/275
Number Of Sources : 3
Academic Level : Doctoral
Paper Format : APA
Line Spacing : Double
Language Style : US English

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