Table 4 Results of multivariate nonlinear regression analysis.
Coefficients | Estimate | Std. Error | t value | Pr( >|t|) | Signif. codes |
|---|---|---|---|---|---|
Formula: \({\text{Q}}_{\text{G}}=\text{a}*{\text{lnC}}_{\text{F}}+\text{b}*{\text{P}}_{\text{I}}+\text{c}*{\text{T}}_{\text{I}+}\text{d}*{\text{P}}_{\text{P}}+\text{m}\); R2 = 0.9789 | |||||
m | − 58.9941 | 22.6317 | − 2.607 | 0.020705 | * |
a | 23.6129 | 1.1702 | 20.179 | 9.53e−12 | *** |
b | 4.8303 | 1.0040 | 4.811 | 0.000277 | *** |
c | 1.4015 | 0.1004 | 13.959 | 1.31e−09 | *** |
d | − 9.6749 | 1.9319 | − 5.008 | 0.000192 | *** |
Formula: \({\text{R}}_{\text{GW}}=\text{a}*{\text{lnC}}_{\text{F}}+\text{b}*{\text{P}}_{\text{I}}+\text{m}\); R2 = 0.9743 | |||||
m | 46.8354 | 3.3190 | 14.111 | 1.90e−10 | *** |
a | − 4.5665 | 0.1932 | − 23.639 | 7.17e−14 | *** |
b | − 1.1195 | 0.1657 | − 6.756 | 4.61e−06 | *** |
Formula: \({\text{R}}_{\text{E}}=\text{a}*{\text{lnC}}_{\text{F}}+\text{b}*{\text{P}}_{\text{I}}+\text{c}*{{\text{T}}_{\text{I}}}^{-1.4984}+\text{m}\); R2 = 0.9848 | |||||
m | 3.89481 | 0.42139 | 9.243 | 1.39e−07 | *** |
a | − 0.53954 | 0.02407 | − 22.416 | 6.01e−13 | *** |
b | − 0.13369 | 0.02065 | − 6.476 | 1.05e−05 | *** |
c | 779.33801 | 37.94928 | 20.536 | 2.15e−12 | *** |