Table 1.
Model | Formula | Parameter estimates | Adjusted R2 | AIC | RSE |
---|---|---|---|---|---|
log | y = a + blnx | a = 0·387 ± 0·379 | 0·67 | 11·19 | 0·379 |
b = 0·407 ± 0·0629 | |||||
3 Parameter logistic | a = 0·240 ± 0·389 | 0·75 | 11·16 | 0·287 | |
b = 120 ± 61·2 | |||||
c =−3·00 ± 0·235 | |||||
4 Parameter logistic | a =−0·240 ± 0·409 | 0·75 | 12·81 | 0·283 | |
b = 119 ± 43·1 | |||||
c =−2·90 ± 0·238 | |||||
d = 1·42 ± 0·661 | |||||
Power | y = axb | a =−0674 ± 0·200 | 0·55 | 13·81 | 0·516 |
b = 0·175 ± 0·0401 | |||||
Cube root | y = ax0·33 | a =−2·01 ± 0·0204 | 0·25 | 19·20 | 0·860 |
Parameters are shown with the standard deviation of the fit. Adjusted R2 is the correlation coefficient, AIC Akaike's Information Criterion, RSE residual squared error.