Using the Small Hospitals Only AHA sub-database, a multiple regression analysis in an attempt to predict number of personnel by births, admissions, and outpatient visits is given below. How strong is the model? Explain. Which, if any, of the predictor variables are significant? How does R² compare to adjusted R² and what does it mean in this model? American Hospital Association database SUMMARY OUTPUT

Regression Statistics
Multiple R		0.788
R Square		0.620
Adjusted R Square		0.618
Standard Error		99.769
Observations		447

ANOVA
		df		SS		MS		F		Significance F
Regression		3		7202459		2400820		241.195		9.53387E-93
Residual		443		4409562		9953.865
Total		446		11612022

		Coefficients		Standard Error		t Stat		P-value
Intercept		72.2934		7.9538		9.09		3.36E-18
Admissions		0.0563		0.0102		5.54		5.21E-08
Outpatient Visits		0.0015		0.0001		18.81		2.01E-58
Births		0.0696		0.0373		1.87		0.0624

In Minitab: Regression Equation Personnel = 72.29 - 0.0696 Beds + 0.0563 Admissions + 0.001478 Outpatient visits Coefficients

Term		Coef		SE Coef		T-Value		P-Value		VIF
Constant		72.29		7.95		9.09		0.000
Beds		0.0696		0.0373		1.87		0.062		1.51
Admissions		0.0563		0.0102		5.54		0.000		1.64
Outpatient Visits		0.001478		0.000079		18.81		0.000		1.32

Model Summary

S		R-sq		R-sq(adj)		R-sq(pred)
99.7691		62.03%		61.77%		55.82%

Analysis of Variance

Source		DF		Adj SS		Adj MS		F-Value		P-Value
Regression		3		7202459		2400820		241.19		0.000
Beds		1		34736		34736		3.49		0.062
Admissions		1		305454		305454		30.69		0.000
Outpatient Visits		1		3520026		3520026		353.63		0.000
Error		443		4409562		9954
Lack-of-Fit		438		4407425		10063		23.54		0.001
Pure Error		5		2137		427
Total		446		11612022