# Walden University Wk 5 Reducing the Readmission of Patients Discussion

use this scenario to answer the question:

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Discussion: Building Regression Models in Health Care

Finding evidence-based relationships among variables is an important tool for any healthcare administration leader. On a daily basis, healthcare administration leaders may want to see what variables are correlated so that they can implement quality improvement.

This week, you think of scenarios where building and interpreting regression models would be useful for healthcare administration leaders. You might consider building off of your Week 4 Discussion.

For example, Jenna, a healthcare administration leader, determined last week that patient satisfaction scores had fallen from the mean of 87. She wants to know why. She believes that it may have something to do with patient waiting time and time spent with the doctor. Thus, her dependent variable (y) is patient satisfaction and the independent variables are waiting time (x1) and time spent with the doctor (x2). She can evaluate the relationship between these two variables using correlation; bivariate scatterplots for y vs. x1 and y vs. x2; and regression techniques.

For this Discussion, think about a healthcare scenario where multiple regression might be useful in your organization or one with which you are familiar. Consider what your dependent and independent variables might be for conducting a multiple regression analysis. Build a small example, and run the regression analysis.

By Day 3

Post a description of the dependent and independent variables you will use for your multiple regression analysis, and then explain your regression model in terms of your dependent and independent variables. Explain how you might measure your variables. Be specific and provide examples.

Albright, S. C., & Winston, W. L. (2017). Business analytics: Data analysis and decision making(6th ed.). Stamford, CT: Cengage Learning.

Chapter 10, “Regression Analysis: Estimating Relationships”

Chapter 11, “Regression Analysis: Statistical Inference”

Fulton, L., Lasdon, L. S., & McDaniel, R. R. (2007). Cost drivers and resource allocation in military health care systems. Military Medicine, 172(3), 244–249.

Required Media

Marin, M., & Hamadani, L. (2013). Checking linear regression assumptions in R [Video file]. Retrieved from https://youtu.be/eTZ4VUZHzxw

• Dunn, C. (2020). A fast and automatic variable selection for multiple linear regression [Video file]. Retrieved from https://www.youtube.com/watch?v=GyQsSzX3O_A
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