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Multiple regression

I’m trying to learn for my Statistics class and I’m stuck. Can you help?

For this Assignment, you will continue your practice as a critical consumer of research. You will critically evaluate a scholarly article related to multiple regression.

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To prepare for this Assignment:

  • Use the Course Guide and Assignment Help found in this week’s Learning Resources and search for a quantitative article that includes multiple regression testing. Also, you can use as guide the Research Design Alignment Table located in this week’s Learning Resources
  • I found these articles….SELECT ONE( which is the most applicable)

https://academic.oup.com/intqhc/article/23/3/302/1792830 – article 1

https://link.springer.com/article/10.1186/s12904-019-0405-x – article 2

https://pdfs.semanticscholar.org/6ba5/6041f939ac4d51e14ea81929b41fd22c62b3.pdf – article 3

For this Assignment:

Write a 3- to 5-paragraphs critique of the article (2 to 3 pages). In your critique, include responses to the following:

  • Why did the authors use multiple regression?
  • Do you think it’s the most appropriate choice? Why or why not?
  • Did the authors display the data?
  • Do the results stand alone? Why or why not?
  • Did the authors report effect size? If yes, is this meaningful

Use APA FORMAT. INCLUDE REFERENCES

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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