Question
Can you answer the question? Run a multiple linear regression model to explain/predict Net Hospital Benefits (Net Revenue) for both tables. Question 2 -Use the
Can you answer the question? Run a multiple linear regression model toexplain/predict Net Hospital Benefits (Net Revenue) for both tables.
Question 2 -Use the results from model 1 and model 2 to compare the results between teaching and non-teaching hospitals.
Regression Results
Table 1-Model 1-To explain/predict Net Hospital Benefits -2011-2012
Run a multiple linear regression model toexplain/predict Net Hospital Benefits (Net Revenue).The dependent variable is Net Hospital Benefits and the independent orpredictor variables are Total Hospital Bedsand whether the hospital is a Teaching Hospital or not.Complete Table 1.
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 763,763.83 | 925,268.53 | 0.825 | 0.409 | (1,050,458.20) | 2,577,985.85 |
total_hospital_beds | (70,771.49) | 3,548.55 | -19.944 | 0.000 | (77,729.31) | (63,813.67) |
teaching hosp dummy | (2,516,203.34) | 1,578,364.65 | -1.594 | 0.111 | (5,610,984.82) | 578,578.15 |
R Square =0.1470 |
Run a multiple linear regression model and explain/predict Net Hospital Benefits (Net Revenue).In the 2nd model, the dependent variable is Net Hospital Benefits and the independent orpredictor variables are Total Hospital Bedsand whether the hospital is a Non-Teaching Hospital or not. (Note: You may convert the Teaching Hospital column into a Non-Teaching Hospital column by subtracting 1 and changing the sign of the data.) Complete Table 2.
Regression Results
Table 2-Model 21-To explain/predict Net Hospital Benefits -2011-2012
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 0 | 0 | 65535 | 0 | 0 | |
total_hospital_beds | 0 | 0 | 65535 | 0 | 0 | |
Non -teaching_hospital | 0 | 0 | 65535 | 0 | 0 | |
R Square=1 |
Use the results from model 1 and model 2 to compare the results between teaching and non-teaching hospitals.
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