Linear Regression Model
Exercise 4 offers two versions: EXCEL (base) and RStudio (BONUS)
Track 1 RStudio: If you have chosen to work with RStudio (1 % BONUS), please run the following models and complete the following tables. See Track 2 below for EXCEL
1st Model:
Run a linear model and predict the difference between hospital beds (use the bed-tot) and hospital’s ownership on hospital net-benefit? Discuss your finding, do you think having higher beds has positive impact on the hospital net benefit? What about the ownership?
2nd Model:
Now, estimate the impact of being a member of a system on hospital net benefit. And discuss your finding (nor more than 2 lines). Is the result significant? Explain.
3rd Model:
Now, include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge in your model. How do you evaluate the impact of having higher Medicare and Medicaid patients on hospital revenues?
Based on your finding please recommend 3 policies to improve hospital performance. Please make sure to use the final model for your recommendation.Download Data from here: The data is the same of E1, E2 and E3Download codes from here:
Download questions from here:All exercises questions
How to solve
hmgt400 Exercise # 4
Introduction:
In this exercise, we will be using linear regression models to analyze the impact of various factors on hospital net benefit. We will run multiple models and discuss our findings based on the results. Additionally, we will provide recommendations for improving hospital performance based on our findings.
1st Model:
To begin, we will run a linear model to predict the difference between hospital beds (bed-tot) and hospital ownership on hospital net benefit. We will examine whether having higher beds has a positive impact on the hospital net benefit and analyze the effect of ownership.
2nd Model:
Next, we will estimate the impact of being a member of a system on hospital net benefit. We will discuss our findings, including whether the result is significant or not, in no more than 2 lines.
3rd Model:
In this model, we will include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge as variables in our model. We will evaluate the impact of having higher Medicare and Medicaid patients on hospital revenues.
Based on our findings, we will recommend three policies to improve hospital performance. It is important to use the final model for these recommendations.
Please download the necessary data and codes from the provided links to complete the exercise.
Answer to the content:
As an AI language model, I don’t have access to external files or links. However, as per the given instructions, for the linear regression models and analysis, you need to use the provided data and codes. Please refer to the mentioned links to download the necessary files and follow the instructions to run the models, complete the tables, and analyze the findings.
Please note that the specific answers to the questions posed in this exercise cannot be provided without access to the actual data and running the models. The answers will depend on the results obtained from the analysis of the given data.
Remember to utilize the final model’s findings to recommend three policies for improving hospital performance.
