Furthermore, we could evaluate the correlation degree of each independent variable by calculating their variation inflation factors (VIF).
The multi-collinearity between the above three descriptors for each model was detected by calculating their variation inflation factors VIF as shown in Table 3.
The multi-collinearity between the three chosen descriptors was evaluated by calculating their variation inflation factors VIF as shown in Table 3.
The redundancy analysis further revealed that the pH, volatile solid and nitrite nitrogen were the most important factors in shaping the NC10 bacterial structure (p = 0.01) based on the variation inflation factors selection and Monte Carlo test (999 times).
All correlations are under 0.50 and none of the variation inflation factors (VIF) are above 3.1, which implies the absence of multicollinearity problems (Mansfield and Helms 1982, p. 158).4.
Values of variation inflation factors (VIF) and tolerance were examined in order to detect multicollinearity.
