extremely significantP > 0.1
begin{document}$${\mathrm{Y}}_{1} = 203.20 + 14.00{\mathrm{A}} + 16.13{\mathrm{B}} + 12.25{\mathrm{AB}} - 10.10{\mathrm{A}}^{2} + 8.65{\mathrm{C}}^{2}$$\end{document} Y 1 = 203.20 + 14.00 A + 16.13 B + 12.25 AB - 10.10 A 2 + 8.65 C 2 According to Table 6 , the quadratic regression model P < 0.01 is extremely significant, and the lack of fit term P > 0.1 is significant, indicating that the fitting model can correctly reflect the relationship between various factors and errors, and can better predict the test results.