Run a multiple linear regression model and explain/predict Net Hospital Benefits (Net Revenue). In the 3rd model, the dependent variable is Net Hospital Benefits and the independent orpredictor variables are Total Hospital Beds,whether the hospital is a Teaching Hospital or not, Ratio of Medicare Discharges, and Ratio of Medicaid Discharges.Complete Table 3.

Table 3-Model 3-To explain/predict Net Hospital Benefits- 2011, 2012

How do you evaluate the impact of having higher or more Medicare and Medicaid patients on hospital net-benefit in teaching hospitals?

	Coef.	ST. ERR	T Stat	P-values	Lower 95%	Upper 95%
Intercept	1127331.029	3013032.42	0.37	0.71	-4780479.59	7035141.65
Total Hospital beds	-71040.79544	3824.22	-18.58	0.00	-78539.15	-63542.44
Teaching Hospital Dummy	-2575143.379	1595518.27	-1.61	0.11	-570.559.69	553272.93
Ratio of Medicare Ratio	-919230.0324	5060788.58	-0.18	0.86	-10842183.51	9003723.45
Ratio of Medicaid ratio	990896.8138	7226330.68	0.14	0.89	-13178148.59	15159942.22
R Square=0.1470