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Regression Modeling

Assignment: Regression Modeling

Regression modeling is a foundational skill for those conducting secondary data analysis, much like you will encounter in the completion of the Doctor of Healthcare Administration (DHA) program. Additionally, regression modeling assists in finding connections among multiple variables and one dependent variable.

Consider, for example, a healthcare administrator who may be asked to develop or interpret models of patient satisfaction based on other quantitative or dichotomous variables.

For this Assignment, review the resources for this week. Then, review your course text, and complete Case Study 11.2 on page 536 The case study is based on a real-world problem.

For Chapter 11, case study 11.1, you will need to download the file C11_01.xlsx from the textbook companion website http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781305947542. Under “Book Resources”, click on “Student Downloads” to view the downloadable files. Click “Case Files” and download the zipped file 1305947541_538884.zip. Open the zipped file to access the file C11_01.xlsx.

To access your rubric:

Week 5 Discussion Rubric

To participate in this Discussion:

Week 5 Discussion

The Assignment: (3–5 pages)

Complete Case Study 11.2, “Heating Oil at Dupree Fuel Company” on page 536 of your course text using SPSS.

Note:This case study is real. The name of the company is changed for purposes of anonymity.

By Day 7

Submit your answers and embedded analysis (SPSS and other analysis) as a Microsoft Word management report.

Submission and Grading Information

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Click the Week 5 Assignment Rubric to review the Grading Criteria for the Assignment.

Click the Week 5 Assignment link. You will also be able to “View Rubric” for grading criteria from this area.

Next, from the Attach File area, click on the Browse My Computer button. Find the document you saved

as “WK5Assgn+last name+first initial.(extension)” and click Open.

If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the

Global Reference Database.

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