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The correlation of determination is high in Langmuir equation (R2 = 0.995) contrast to Freundlich equation (R2 = 0.760) (Fig. 5).

This figure suggests that the coefficient of determination is high with a value of 0.83, but not as large as 0.94 obtained with the parallel flow model.

Coefficient of determination is highest for the linear model as compared to quadratic and nonlinear models.

In fact, the coefficients of determination are high for both ratios of debt.

The coefficient of determination was high for the basal area model (R2 = 0.81), but was much lower for the volume model (R2 = 0.37).

Within each of the subjects at rest and different exercise intensities, the average coefficient of determination was high for fR, VT and ˙VI (R2 = 0.9233, 0.8743 and 0.9652, respectively) and the mean bias values were low (−0.102 ± 2.91, 0.033 ± 0.207 and −0.715 ± 8.362, respectively).

For each model, the coefficients of determination were higher than 0.97.

In all experimental data used, the calculated parameters were always statistically significant (Student's t-test, α = 0.05), the equations were consistent (Fisher's F-test) and the goodness of fit coefficient of determination was higher than 0.99.

Parametric estimations are shown in Table 4. Statistically significant results were found continuously (Student's t-test, α = 0.05), the equation was consistent (Fisher's F-test), and the goodness of fit coefficient of determination was higher than 0.98.

The IgG titer induced by immunization (geometric mean titer, GMT, from two determinations) was high.

The correlation between both these determinations was high (r = 0.77).