Introduction (this section does not require a heading and serves as the introduc

Introduction (this section does not require a heading and serves as the introduction to both sections)
Part 1: Setting Up the Test
Research Question.
Null and Alternative Hypotheses.
Specify the alpha level.
Create and paste a scatterplot (refer to the Create a Table PDF found in your Learning Resources).
Note: The research question, null and alternative hypothesis, and the scatterplot will be the same whether you are conducting a Pearson Correlation or a Linear Regression.
Part 2: Pearson Correlation
Compute the Pearson Correlation using 10 scores and indicate what 10 scores you used.
Evaluate the significance of the correlation.
Make a decision about the null.
Summarize the above information in a table (one or two tables based on how you choose to format).
Part 3: Linear Regression
(Use the exact same variables from the Pearson Correlation conducted)
Compute the Linear Regression using 10 scores and indicate what 10 scores you used (they need to be the same 10 scores you used in Part 2).
Evaluate the significance of the regression.
Make a decision about the null.
Part 4: Conclusion
Provide a brief explanation of what the implications for social change might be, based on the results of your data of either the Pearson Correlation or the Linear Regression.
Support your summary using appropriate scholarly citations and references. Use proper APA format.
Resources
Gravetter, F. J., & Wallnau, L. B. (2017). Statistics to the behavioral sciences (10th ed.). Cengage Learning.
Chapter 15, “Correlation” (pp. 485–528)
Chapter 16, “Introduction to Regression” (pp 529–558)