Table 1.
Statistics for the log P – log R data set for each skin model.
Skin Type |
Linear Regression Parameters |
log Ca,c | ||
---|---|---|---|---|
Slope a,b | Intercept a | r2 | ||
hFTS | −1.08 ± 0.10 | −2.99 ± 0.09 | 0.93 | −3.05 ± 0.14 |
h700 | −1.04 ± 0.23 | −2.88 ± 0.20 | 0.66 | −2.91 ± 0.36 |
h250 | −1.09 ± 0.27 | −2.63 ± 0.20 | 0.68 | −2.69 ± 0.31 |
pFTS | −1.07 ± 0.08 | −2.90 ± 0.07 | 0.94 | −2.95 ± 0.16 |
p700 | −1.07 ± 0.23 | −2.85 ± 0.16 | 0.74 | −2.89 ± 0.27 |
Range corresponds to the 95% confidence interval.
Slopes are not significantly different from −1.
The average intercept value, log C, was obtained by extrapolating each data point to the y-axis using a slope of −1 (see Section 2.6). Log C is equivalent to the regressed intercept when the regressed slope is exactly −1.