DDHA 8800: 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.

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.

Expert Solution Preview

Introduction:
Regression modeling is a crucial skill for medical college students, especially for those who will be conducting secondary data analysis. It helps in finding connections among multiple variables and one dependent variable, such as patient satisfaction based on other quantitative or dichotomous variables. In this assignment, students are required to complete Case Study 11.2, “Heating Oil at Dupree Fuel Company” on page 536 of the course text using SPSS.

Answer:
The Heating Oil at Dupree Fuel Company case study aims to examine the relationship between the price of heating oil, the number of gallons sold, and the number of customers served. The study involves developing a linear regression model to determine how the price of heating oil affects the number of gallons sold and customers served by Dupree Fuel Company.

To complete this case study using SPSS, medical college students need to perform the following steps:

1. Import the data provided in the C11_01.xlsx file into SPSS.
2. Use descriptive statistics to summarize the data.
3. Use scatterplots to examine the relationship between the price of heating oil and the number of gallons sold and customers served.
4. Develop three linear regression models: one for the price of heating oil and the number of gallons sold, one for the price of heating oil and the number of customers served, and one for the price of heating oil, number of gallons sold, and number of customers served.
5. Evaluate each model to determine which one fits the data best and provides the most useful information for Dupree Fuel Company.

In conclusion, completing the Heating Oil at Dupree Fuel Company case study using SPSS will help medical college students develop regression modeling skills that will be essential for their careers. By analyzing the data and developing a regression model, students will learn how to identify the relationship between variables and how to use that information to make informed decisions.

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