Correlation and Regression Study
During this week you will identify a research question created in Week 1 for which correlation or regression would be the best statistical approach to take. If you do not have a research question that indicates correlation or regression, review the research questions posted by your peers last week and select one that is ideal for correlation or regression.
Discussion Assignment Requirements
Initial Posting – In your initial posting for this assignment, include the following:
· Identify an appropriate research question that would require the use of correlation and regression to answer.
· Describe why this question is appropriate for a correlational study.
· Identify the two variables in this study and each of their attributes: discrete or continuous, quantitative or categorical, and scale of measurement (nominal, ordinal, interval, or ratio).
· Do the variables fit the qualifications of a correlational study? Explain.
· What type of correlation would you expect to find for this study (i.e., positive or negative)? Explain.
· What predictions might you be interested in making with these variables if the correlation is found to be significant?
Must be 300 to 400 words
Sukal, M. (2019). Research methods: Applying statistics in research. San Diego, CA: Bridgepoint Education, Inc. File is attached
Chapter 9: Correlation
Chapter 10: Linear Regression
American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washington, D.C.: Author.
Consortium for Mathematics and its Applications & Chedd-Angier (Producers). (1989). Against all odds: Inside statistics. Available from http://www.learner.org/resources/series65.htm (Links to an external site.)l
Cengage Learning (2005). Research Methods Workshops. Available from: http://www.wadsworth.com/psychology_d/templates/student_resources/workshops/resch_wrk.html (Links to an external site.)
Cengage Learning (2005). Statistics Workshops. Available from: http://www.wadsworth.com/psychology_d/templates/student_resources/workshops/stats_wrk.html (Links to an external site.)
Easton, V. J., & McColl, J. H. (1997). STEPS: Statistics Glossary v1.1. Retrieved from University of Glasgow Web site: Basic Definitions: http://www.stats.gla.ac.uk/steps/glossary/basic_definitions.html (Links to an external site.)
Kahn, J. (n.d.). Reporting statistics in APA style. Retrieved from http://my.ilstu.edu/~jhkahn/apastats.html (Links to an external site.)
Lowry, R. (2011). Chapter 3: Introduction to correlation & regression. In Concepts & applications of inferential statistics. Retrieved from http://vassarstats.net/textbook/ (Links to an external site.)
Neill, J. (2010). University of Canberra. Correlation. Available from: http://www.slideshare.net/jtneill/linear-correlation (Links to an external site.)
Online Stat Book (2008). Retrieved from Rice Virtual Lab in Statistics Web site: Components of r: http://onlinestatbook.com/stat_sim/comp_r/index.html (Links to an external site.)
Online Stat Book (2008). Retrieved from Rice Virtual Lab in Statistics Web site: Regression by Eye: http://onlinestatbook.com/stat_sim/reg_by_eye/index.html (Links to an external site.)
Online Stat Book (2008). Retrieved from Rice Virtual Lab in Statistics Web site: Regression to the Mean: http://onlinestatbook.com/stat_sim/reg_to_mean/index.html (Links to an external site.)
Online Stat Book (2008). Retrieved from Rice Virtual Lab in Statistics Web site: Reliability and Regression Analysis: http://onlinestatbook.com/stat_sim/reliability_reg/index.html (Links to an external site.)
UCLA (2010). Chapter X: Correlation and regression. In Probability and statistics ebook. Retrieved from: http://wiki.stat.ucla.edu/socr/index.php/Probability_and_statistics_EBook (Links to an external site.)
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