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.