Table 2. GLS regression: Dependent variable is COST.

Parameter	Estimates	Parameter = 0	PR>|T|
INTERCEPT	−10282.9472	−0.69	0.4935
ADMIN	− 36679.0767	−1.07	0.2901
CLERIC	−3938.6991	−0.05	0.9594
TRANSPT	43958.7214	0.37	0.7109
MEDSUPLY	− 838595.5544	−1.96	0.0553
SPACE	130613.7147	0.99	0.3252
OFFICE	105995.6836	0.49	0.6284
HSA1	29189.3691	2.67	0.0098
HSA2	9754.4364	0.94	0.3526
HSA3	589.2250	0.08	0.9376
HSA4	2885.4332	0.36	0.7204
URBAN	−19000.3673	−0.80	0.4293
VNA	−107.3178	−0.02	0.9848
VISITS2	0.000235	3.98	0.0002
VISITS	20.3113	11.65	0.0001
HHCPRCNT	49985.0336	2.65	0.0104

N = 74

R − Square = 0.9599