Multiple Regression: The effect of working hours weekly on income

Section A

Based on the research question you created, complete the following tasks:

• Fit a multiple regression model, testing whether a mediating variable partly or completely mediates the effect of an initial causal variable on an outcome variable. Think about whether or not the model will meet assumptions.
• Fit the model, testing for mediation between two key variables.
• Analyze the output, determining whether mediation was significant and how to interpret that result.
• Reflect on possible implications of social change.

Write a 1- to 2-paragraph analysis.

The research question: “Does the hours of work every week, the level of education and the hours of TV watching every day has a significant effect on income?”

Section B

Write a 2- to 3-page critique of the research you found that includes responses to the following prompts:

• Why did the authors use mediation in their multiple regression model?
• Do you think mediation 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?

Resource

Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications.

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