highly significantP < 0.0001
Analysis of variance of the regression model Multiple quadratic regression on the data yielded the following model: (3) Y = 2.94 + 0.2539 A + 0.1618 B + 0.0904 C + 0.0447 AB − 0.0230 AC + 0.0473 BC − 0.2315 A 2 − 0.0812 B 2 − 0.1554 C 2 Analysis of variance ( Table 4 ) shows that the model is highly significant ( P < 0.0001) with a non-significant lack-of-fit term ( P = 0.7481).