Shop

Multiple Regression in SPSS & Quantitative Reasoning HW:Review this week’s Learning Resources and media program

Description

Multiple Regression in SPSS & Quantitative Reasoning HW:Review this week’s Learning Resources and media program

You will note that the assignment for this week is similar to the multiple regression analyses you did in the Quantitative Reasoning and Analysis course in weeks 9 and 10. When you conduct your multiple regression analysis for this assignment you should not turn in a paper you submitted in an earlier course or use the same variables that you used to conduct a multiple regression. Please note that SafeAssign will match your assignment to your submission(s) from the earlier course and it is not permissible to reuse work from previous courses without specific permission from your instructor.For this assignment use different variables than you did for previous multiple regression assignments.

To prepare for this Assignment

  • Review this week’s Learning Resources and media program related to multiple regression.
  • Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.

Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.

Use proper APA format, citations, and referencing for your analysis, research question, and display of output.

References

Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.

  • Chapter 12, “Regression and Correlation” (pp. 325-371) (previously read in Week 9 of RSCH 8210)

  Do you need high-quality Custom Essay Writing Services?  

Order now

Reviews (0)

Reviews

There are no reviews yet.

Be the first to review “Multiple Regression in SPSS & Quantitative Reasoning HW:Review this week’s Learning Resources and media program”

Your email address will not be published. Required fields are marked *

error: [email protected]