(UMGC) HMGT 400 Regression Model Data Analysis Research
(UMGC) HMGT 400 Regression Model Data Analysis Research
Question #1 (15 credits):
The FINAL EXAM dataset provides some information about hospitals in 2011 and 2012.Analyze the
FINAL EXAM dataset. You may calculate the “Hospital Beds per Population (Per Capita)” variable by
dividing “total_hospital_beds by tot_population. Use the analysis results to complete Table 1 below
Create a scatter plot with the correct variable and axes labels and legend. Use the plot to
compare hospital cost (x-axes) and revenue (y-axes) and discuss your findings?
0 1,000,000,000 2,000,000,000 3,000,000,000 4,000,000,000
0
1,000,000,000
2,000,000,000
3,000,000,000
4,000,000,000
5,000,000,000
6,000,000,000
7,000,000,000
8,000,000,000
9,000,000,000
10,000,000,000
total_hosp_revenue
Hospital cost
Revenue
The findings from the scatter plot shows that there is higher concentration closer to zero in both
hospital cost and revenues generated. The analysis shows that the revenues generated were
higher than the hospital costs incurred. This is an important consideration because it shows
that the hospitals are sustainable.
If we assume that hospital net-benefit is a good measure of hospital performance, which type
of hospitals had the better performance (for-profit or non-profit hospitals)?
For-profit hospitals performed better that not for profit hospitals. The average hospital net
benefit in for profit hospitals was $1,094,388,295 compared to $269,724,370 in not for profit
organizations.
Overall, what are the main statistically significant differences between for-profit and non-for-
profit hospitals?
The main statistically significant difference between the two types is the Medicare discharge which
had a lower p-value. This means that there was significant difference in Medicare discharge between
for profit and not for profit hospitals.
Question #3 (15 credits):
The dataset provides the variable herf_ins called the Herfindahl–Hirschman Index which measures
market concentration for the health insurance market. Please note that unlike the class exercise in
which you used herf_cat, which measured market concentration for the hospital market, in this
assignment you are using herf_ins which measures market concentration for the health insurance
market.