The RMSE of the responsivity function linear fitting was very small; however, exponential fitting produced a better fit (Table 1) and the difference of the fits was small.
The prediction error (RMS error of prediction, Table 2) ranged between 1.75 and 3.5 times the modeled water-level fitting error (RMS error of fit, Table 2).
Where α, β, and γ are regression coefficients for 329 nm ag λ1) and 349 nm ag λ2), following the best model fit (Table 3).
Linear regression analysis of 1971 2016 May NCDMF trawl survey data showed significant increasing trends for temperature, salinity, and percentage of above-minimum temperatures, with percentage of above-minimum temperatures providing showing the best fit (Table 4).
Among all the candidates, the sill-like tensile crack model provided the best fit (Table 2).
Models with three and four components did not improve the fit (Table 1).
In this study, the SLAB model shows the best data fit (Table 1).
The model had a high determination coefficient (R2 = 0.92) and low lack of fit (Table 1).
Further, under the lack of fit (Table 5) the F value is not significant, with an F value of 4.79 and the p value of 0.0687.
In model 1, the constructs coordination and cooperation have the values of R 2 0.305 and 0.332, which considering the complexity of the research model indicate a good fit (Table 3).
The solid line represents the line of identity, and the dashed line corresponds to the regression fit Table 3 Regional distribution volume (VT) estimates from the three different methods for each of the groups.
