Table 3.

Estimated results of regression models of pollution hazard intensity, as a function of physical profiles; Ordinary least squares (OLS) regression.

Model 1. OLS Regression Model for Physical Variables- R2 = 0.380
Variable	Beta	t-Value	p-Value
Constant	7.604	24.885	<0.001
Distance to Foundry A ***	−2.54 × 10−4	−18.182	<0.001
Distance to railroads ***	−4.61 × 10−4	−8.363	<0.001
Gravelly loam ***	0.353	7.062	<0.001
Distance to 4th stream order ***	5.68 × 10−4	4.714	<0.001
Elevation ***	−7.94 × 10−3	−6.269	<0.001
Slope position 5 (Valley) ***	−0.409	−4.272	<0.001
Somewhat well soil drainage	−0.360	−5.900	<0.001
Well soil drainage ***	−0.446	−6.223	<0.001
Slop position 4 (Lower slope) ***	−0.116	−3.441	<0.001
Soil hydrology class B (Silt) ***	0.167	3.517	<0.001
Distance to roads (highways) *	−1.76 × 10−3	−2.294	0.021
Distance to 6th stream order **	9.91 × 10−5	2.735	0.006
Low soil run-off *	−0.094	−2.101	0.035

* p < 0.05 (one-tail test); ** p < 0.01 (one-tail test); *** p < 0.001 (one-tail test).