When R 2 approaches unity, the better the response model fits the actual data.
The response surface models with high coefficients of determination values (R2 = 0.95) were fitted to the experimental data, which indicated that the polynomial response models fitted well for describing the % pertraction of lactic acid as well as % membrane phase recovery.
The significant (p < 0.05) response surface models with high coefficients of determination values (R2) ranging from 0.91 to 0.93 were fitted for the experimental data, which indicated that the polynomial response models fitted well for describing the extraction efficiencies of anthocyanin, acidity and antioxidant activity.
The significant (p < 0.05) response surface models with high coefficients of determination values (R2) ranging from 0.89 to 0.95 were fitted for the experimental data, which indicated that the polynomial response models fitted well for describing the specific activity, activity recovery, purification fold, volume ratio, enzyme and protein partition coefficients.
However, when the dose-response model fitted after excluding Gb11 is used in Step 8, the rates of decline obtained from carcass surveys were more similar (80 83% decline per year) to the rate calculated from road transect data and there was no significant difference between the two types of estimate (P>0.10; Table 5).
The results indicated that the dose-response models fit these characteristics data well, which would be favorable to understand and design the hydrothermal carbonization process for corn stalk.
Dose-response models fitted to these same data indicate that, while excess risks may still occur under the OSHA standard, the predicted levels of increased relative risk would be about 30-50% if a linear dose-response model is assumed and 3-7% if a quadratic model is assumed.
35 After confirming unidimensionality and local independence, Samejima's Graded Response Model was fit for the selected 22 questions.
After testing for unidimensionality and absence of local dependence, a 2 parameter logistic Semajima's graded response model was fit and item characteristics assessed.
