Table 2.
Analysis of variance (ANOVA) of the regression model, involving combined linear (L) and quadratic (Q) effects (L + Q) of input variables and interaction terms (Xa*Xb).
Regression model component | SS | df | MS | F | p |
---|---|---|---|---|---|
X1: glycerol [g/L] L + Q | 47.739 | 2 | 23.870 | 6.758 | 0.0108 |
X2: leucine [g/L] L + Q | 35.678 | 2 | 17.839 | 5.051 | 0.0256 |
X3: phosphate [g/L] L + Q | 31.279 | 2 | 15.640 | 4.428 | 0.0363 |
X4: urea [g/L] L + Q | 52.520 | 2 | 26.260 | 7.435 | 0.0079 |
Interactions X1*X2 X1*X3 X1*X4 X2*X3 X2*X4 X3*X4 |
1.099 | 1 | 1.099 | 0.311 | 0.5872 |
1.0881 | 1 | 1.088 | 0.308 | 0.5811 | |
16.485 | 1 | 16.485 | 4.667 | 0.0517 | |
13.582 | 1 | 13.582 | 3.846 | 0.0735 | |
0.262 | 1 | 0.262 | 0.074 | 0.7900 | |
12.325 | 1 | 12.325 | 3.490 | 0.0864 | |
Residual error | 42.382 | 12 | 3.532 | ||
Total SS | 194.465 | 26 |
R2 = 0.7821.