High correlations were obtained by the established models with coefficients of determination of 0.95, 0.95, 0.97, and 0.72 for total soluble solids, total chlorophyll, carotenoid and ascorbic acid content, respectively.
The table lists the parameters that are replaced by linear regression models with coefficients a i, b i, c i of other highly correlated model parameters.
Mortality at these units is likely to be different from that at ICUs, resulting in models with coefficients optimized for this diluted population [ 10].
Results showed that reaction kinetics at optimum conditions conformed to the pseudo-first order model with coefficient of determination and k values of 0.9862 and 0.0277 min−1, respectively.
Regression analysis showed good fit of the experimental data to the second-order polynomial model with coefficient of determination (R2) value of 0.9114 and Fisher F-value of 10.28.
Regression analysis indicated good fit of the experimental data to the third-order polynomial model with coefficient of determination (R2) value of 0.9994 and F-value of 2570.57.
Regression analysis showed good fit of the experimental data to the second-order polynomial model with coefficient of determination (R2) value of 0.966 and Fisher F-value of 10.28.
The regression analysis showed good fit of the experimental data to the second-order polynomial model with coefficient of determination (R2) value of 0.9978 and model F-value of 953.48.
Moreover, the ANOVA analysis recommends the third-order polynomial response surface model with coefficient determination (R2) of 0.9022 for particle size.
After estimation, we use the linear model with coefficient estimates to derive the marginal effects of unit changes in the managed care or poverty variables in each of the regulatory regimes, and report these at the bottom of the tablesc.
