Run a linear model and predict the difference between hospital beds (use the bed-tot) and hospital’s ownership on hospital net-benefit?
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 E3
Download codes from here:
E4-codes-dplyr
E4-codes-no-dplyr
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