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. 2024 Jul 24;13(15):2333. doi: 10.3390/foods13152333

Table 3.

Statistical data for different polynomial regression models for modeling caffeine yield.

Model Lack of Fit Adjusted R2 Predicted R2
Linear model 0.02565 0.083 −0.269
A model with two-factor interactions 0.024206 0.136 −0.570
Second-order model 0.996154 0.917 0.936
Cubic model 0.856