Run a multiple linear regression model and explain/predict Net Hospital Benefits (Net Revenue). In the 4th model, the dependent variable is Net Hospital Benefits and the independent orpredictor variables are Total Hospital Beds,whether the hospital is a Non-Teaching Hospital or not, Ratio of Medicare Discharges, and Ratio of Medicaid Discharges.Complete Table 4.

Table 4-Model 4-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 non-teaching hospitals?

	Coef.	ST. ERR	T Stat	P-values	Lower 95%	Upper 95%
Intercept	-1447812.351	3175301.23	-0.46	0.65	-7673791.94	4778167.24
Total Hospital beds	-71040.79544	3824.22	-18.58	0.00	-78539.15	-63542.44
Non- Teaching Hospital Dummy	-2575143.379	1595518.27	-1.61	0.11	-553272.93	5703559.69
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