Table 2.

Summary of the Coefficients of the Linear Regression Equation

Species	Bottom/Top					Middle/Top					Bottom/Middle
	m	b	r	n	p	m	b	r	n	p	m	b	r	n	p
Na	0.36	1.74	0.98	6	< 0.01	0.09	1.09	0.23	6	0.66	0.99	0.91	0.80	6	0.06
Cl−	0.42	1.51	0.99	6	< 0.01	−0.11	1.51	−0.15	7	0.75	1.16	0.68	0.90	6	0.01
NO3−	0.31	1.14	0.72	6	0.11	−0.19	1.34	−0.30	7	0.51	1.13	0.27	0.94	6	< 0.01
NSS SO42−	0.22	1.07	0.75	6	0.09	−0.08	1.01	−0.42	6	0.41	0.99	0.21	0.97	6	< 0.01
MSA	0.21	0.79	0.85	6	0.03	−0.03	1.07	−0.08	7	0.86	0.61	0.43	0.97	6	< 0.01
Oxalate	0.21	2.42	0.38	5	0.53	−1.19	4.41	−0.32	5	0.60	0.76	1.58	0.35	5	0.56
NO2−	0.13	0.45	0.70	6	0.12	0.15	0.86	0.24	7	0.60	0.27	0.66	0.28	6	0.59
Formate	0.18	1.37	0.39	5	0.52	−0.14	1.22	−0.47	4	0.53	0.42	1.95	0.33	3	0.79
Fe	0.23	2.27	0.49	6	0.32	−0.25	1.70	−0.50	5	0.39	1.22	0.87	0.75	6	0.09

Note. The table is an extension of Figure 7, showing the coefficients of the linear regression equation of the form y = mx + b, where x is the ratio of lower-to-higher altitude values of τ and y is the ratio of lower-to-higher altitude values for species air-equivalent concentrations. The number of data points is denoted as n. Correlation coefficients (r) and p values are also reported.