highly significantp < 0.001
As shown in Table 2 and Table 3 , the model was highly significant ( p < 0.001), whereas the lack of fit was not significant ( p > 0.05), indicating that the quadratic model adequately described the experimental data.
As shown in Table 2 and Table 3 , the model was highly significant ( p < 0.001), whereas the lack of fit was not significant ( p > 0.05), indicating that the quadratic model adequately described the experimental data.
Because these two factors operate through different mechanisms, their interaction did not reach statistical significance.