Table 2.

The output of coefficients and the associated summary for: (a) a simple linear regression between log D_Sr and log R; and (b) a multiple linear regression between log D_Sr and log R + ionic strength (I).

	Coefficients	Standard error	t stat	p-value	Lower 95%	Upper 95%
(a)
Intercept	−1.571	0.083	−19.026	5.55e−16	−1.741	−1.400
log R	0.176	0.025	6.934	3.60e−7	0.123	0.228
Summary	The regression equation: log DSr = (−1.571 ± 0.171) + (0.176 ± 0.053) · log R Residual standard error: 0.08288 on 24 degrees of freedom r2: 0.667, adjusted r2: 0.653 F-statistic: 48.08 on 1 and 24 DF, p-value: 3.6e−7
(b)
Intercept	−1.566	0.066	−23.832	<2e−16	−1.702	−1.430
log R	0.186	0.020	9.223	3.44e−9	0.146	0.231
I	−0.170	0.044	−3.859	7.97e−4	−0.261	−0.079
Summary	The regression equation: log DSr = (−1.566 ± 0.136) + (0.186 ± 0.043) · log R − (0.170 ± 0.091) · I Residual standard error: 0.06596 on 23 degrees of freedom r2: 0.798, adjusted r2: 0.780 F-statistic: 45.4 on 2 and 23 DF, p-value: 1.033e−8