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# For this week’s discussion, explore how simple linear regression is applied in r

For this week’s discussion, explore how simple linear regression is applied in real-world research within your field of study:

Use academic databases (e.g., JSTOR, PubMed, Google Scholar) to find a relevant article to your research interest. Ensure the article is peer-reviewed and published within the last five years. Verify that simple linear regression is used.

Summary:
Hypothesis: The study’s primary research hypothesis (you only need to report 1) and the null hypothesis (You may need to come up with this yourself as it may not be clearly stated in the paper).
Variables: The Independent Variable (IV) and Dependent Variable (DV)s from the stated hypothesis along with how the IV and DVs were operationalized (measured). Be consistent in the wording you use for the hypothesis and variables.
Type of research: Describe the type of research that was conducted. Include the design and approach, and any relevant information for that type of study.
Discussion of Regression Analysis:
Explain why simple linear regression was an appropriate choice for this research.
Describe how the authors presented their regression results (e.g., tables, figures, equations).
r and R² value: Researchers often report r and R-Square when reporting a regression. What are these values and what do they mean?
Regression results: The regression output table tells you whether your regression equation is significant (thus does the regression line significantly predict the DV). Is the reported regression line significant? Use statistics to back up your answer (F-statistics, degrees of freedom, p value).
When running a regression, the Coefficients table gives you the values you need for your regression equation. The ‘Constant’ variable is your intercept or a. The IV is you slope or b coefficient. Each one of those values has a significance value telling you whether each value is significant (note: the values in the coefficient table are for individual parts of the equation). If included in the paper, please report the regression equation for this data (Y = a + bX) and explain what that equation means.
Application:
How could the findings from this study could inform your own research interests or dissertation topic?
Citation and References:
Cite your chosen article properly according to APA guidelines within your post.
Include a pdf link and the full reference for your article at the end of your post.

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