Table 3.
ANOVA results for the quadratic model of AE in canola oil.
| ANOVA; Var.: Canola oil (AE); R-sqr = 0.98329; Adj: 0.96936 (2**(2) central composite, nc = 4 ns = 4 n0 = 2 factors, 1 Blocks, 12 Runs; MS Pure Error = 0.000851 DV: Canola oil (AE) | |||||
|---|---|---|---|---|---|
| Factor | SS | df | MS | F | p |
| (1) Soy post-frying oil (L) | 0.00096 | 1 | 0.000096 | 0.1122 | 0.754446 |
| Soy post-frying oil (Q) | 0.077905 | 1 | 0.077905 | 91.5448 | 0.000667 |
| (2) Corn steep liquor (L) | 0.017808 | 1 | 0.017808 | 20.9254 | 0.010226 |
| Corn steep liquor (Q) | 0.160956 | 1 | 0.160956 | 188.7146 | 0.000163 |
| 1L by 2L | 0.093660 | 1 | 0.093660 | 110.0591 | 0.000467 |
| Lack of fit | 0.003143 | 2 | 0.001571 | 1.8464 | 0.230371 |
| Pure error | 0.003404 | 4 | 0.000851 | ||
| Total SS | 0.391656 | 11 | |||
SS = sum of square; df = degrees of freedom; MS = mean square; F = F test; p = value.