Why would we graph scatterplots and regression lines

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Reference no: EM133716517

Discussion Post: Quantitative Research Methods- Correlation & Regression

The student will complete Integrating Faith and Learning discussion. In the thread for each short-answer discussion the student will post short answers to the prompted questions. The answers must demonstrate course-related knowledge and support their assertions with scholarly citations in the latest APA format. Minimum word count for all short answers cumulatively is 200 words. The minimum word count for Integrating Faith and Learning discussion is 600 words. For each thread the student must include a title block with your name, class title, date, and the discussion forum number; write the question number and the question title as a level one heading (e.g. D1.1 Variables) and then provide your response; use Level Two headings for multi part questions and include a reference section. The student must then post 1 reply to another student's post. The reply must summarize the student's findings and indicate areas of agreement, disagreement, and improvement. It must be supported with scholarly citations in the latest APA format and corresponding list of references.

Respond to the following short answer questions in Chapter 8 from Morgan, Leech, Gloeckner, & Barrett textbook:

I. Why would we graph scatterplots and regression lines?

II. (i) What do the correlation coefficients tell us? (ii) What is r2 for the Pearson correlation? What does it mean? (iii) Compare the Pearson and Spearman correlations on both correlation size and significance level; (iv) When should you use which type in this case?

III. What do the standardized regression weights or coefficients tell you about the ability of the predictors to predict the dependent variable?

Reference no: EM133716517

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