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Multiple Regression

I’m working on a Statistics question and need guidance to help me study.

For this Discussion, you will post your response to the hypothesis test, along with the results. Create a research question using the General Social Survey that can be answered by multiple regression.

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Use SPSS to answer the research question. Post your response to the following:

  1. What is your research question?
  2. What is the null hypothesis for your question?
  3. What research design would align with this question?
  4. What dependent variable was used and how is it measured?
  5. What independent variable is used and how is it measured?
  6. What other variables were added to the multiple regression models as controls?
  7. What is the justification for adding the variables?
  8. If you found significance, what is the strength of the effect?
  9. Explain your results for a lay audience, explain what the answer to your research question.

Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

Required Readings

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 8)

Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.

  • Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8)

MULTIPLE REGRESSION

For this assignment, you are required to complete Problem 64 (p. 593) in Chapter 12 of your textbook. Use the appropriate Excel file templates from www.cengagebrain.com. Once complete, post your Excel Document in Waypoint. Show all work.

23-64) Let Yt be the sales during month t (in thousands of dollars) for a photography studio, and let Pt be the price charged for portraits during month t. The data are in the file Week 4 Assignment Chapter 12 Problem 64Preview the document. Use regression to fit the following model to these data:
Yt = a + b1Yt−1 + b2Pt + et
This equation indicates that last month’s sales and the current month’s price are explanatory variables. The last term, et, is an error term.

If the price of a portrait during month 21 is $10, what would you predict for sales in month 21?
Does there appear to be a problem with autocorrelation of the residual? Explain your answer.

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