Correlation analyses are a set of statistical tests used to determine whether there are relationships between two or more variables. At their most basic level, simple bivariate correlations, using Pearson’s Product-Moment Correlation test, are used to assess the initial relationship between two scale (numerical) variables. For example, a researcher might be interested in understanding the bivariate relationship between several business variables; however, it is important to note that correlation does not imply causality.For this Assignment, you will run a Pearson Product-Moment Correlation Coefficient analysis using the Week 5 Data File for the Pearson Product-Moment Correlation Coefficient.sav data file.To prepare for this Assignment, review Lesson 16A and Lesson 31 in your Green and Salkind (2017) text, as well as the Week 5 Assignment Exemplar and Week 5 Assignment Template documents, provided in this week’s Resources. Consider how a correlation analysis would effectively allow you to answer your research questions.By Day 7Submit a synthesis of statistical findings derived from correlational analysis that follows the Week 5 Assignment Template. Your synthesis must include the following:A description and justification for using the Pearson Product-Moment correlation testA properly formatted research questionA properly formatted H0(null) and H1 (alternate) hypothesisAn APA-formatted “Results” section for the Pearson Product-Moment testIdentification of the statistical testIdentification of variables (there is no distinction between independent and dependent variables for the Pearson Product-Moment correlation test)Identification of data assumptions and assessment outcomeInferential results in correct APA statistical notation formatA properly formatted scatter plotAn explanation of the differences and similarities of correlation analysis and bivariate regression analysisProperly APA-formatted referencesAn Appendix containing SPSS output (see Week 5 Assignment Exemplar)Note: You will cut and paste the appropriate SPSS output into the Appendix. The SPSS output is not in APA format, so you will need to type the information from the SPSS output to the appropriate sections of the APA table. You must use the Week 5 Assignment Template to complete this Assignment. Also, refer to the Week 5 Assignment Rubric for specific grading elements and criteria. Your Instructor will use this rubric to assess your work.

This excel information is needed in order to help me understand how to complete this work. The information is attached below.

Part 1 Review the datasets provided.Construct a research question based on one of those datasets. Based on the research question you created, complete the following tasks: Fit a multiple regression model, using two or more independent variables. Think about whether or not the model will meet assumptions.Fit the model, testing for moderation between two key variables.Analyze the output, determining whether moderation was significant and how to interpret that result.Reflect on possible implications of social change. Write a 1- to 2-paragraph analysis in APA format that includes your data output and addresses each of the tasks listed above. Part 2 For this Assignment, you will critically evaluate a scholarly article related to moderation. Use the following article: https://class.waldenu.edu/courses/1/USW1.G3.201750/blog/_8544966_1/post/_762854_1/Wk%202%20Moderation.pdf Write a 2- to 3-page critique of the research you found in the Walden Library that includes responses to the following prompts: Why did the authors use moderation in their multiple regression model?Do you think moderation is the most appropriate choice? Why or why not?Did the authors display the results in a figure or table?Does the results table stand alone? In other words, are you able to interpret the study from it? Why or why not? Datasets (choose one for part 1) https://nces.ed.gov/surveys/hsls09/ http://www.norc.org/Research/Projects/Pages/general-social-survey.aspx http://www.afrobarometer.org/data/merged-data https://www.cdc.gov/brfss/data_documentation/index.htm Resources Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications.mode