Table 7.
Calculated linear (L) and quadratic (Q) coefficients of the fitted model.
| Parameter | Regression Coefficients, R2 = 0.8799, R2adj = 0.7998, 3 Parameter, 1 Block, 16 Experiments, MS = 115.9099 | |||||
|---|---|---|---|---|---|---|
| Regression Coefficient |
*** SE |
t-Value **** df = 9 |
95% Confidence Interval Lower Limit |
95% Confidence Interval Upper Limit |
***** p-Value * | |
| Intercept | −82.5682 | 53.9597 | −1.5302 | −204.634 | 39.497 | 0.1603 |
| pH (L) * | 41.0017 | 12.4655 | 3.2892 | 12.803 | 69.201 | 0.0094 |
| pH (Q) ** | −3.1896 | 0.8843 | −3.6069 | -5.190 | −1.189 | 0.0057 |
| ACH dose (L) | −87.7514 | 144.4556 | −0.6075 | −414.533 | 239.030 | 0.5586 |
| ACH dose (Q) | 546.7425 | 353.7185 | 1.5457 | −253.424 | 1346.909 | 0.1566 |
| Time (L) | −1.2872 | 1.4446 | −0.8911 | −4.555 | 1.981 | 0.3961 |
| Time (Q) | 0.0540 | 0..354 | 1.5257 | −0.026 | 0.134 | 0.1614 |
* L—linear effect, ** Q—quadratic effect, *** SE—standard error, **** df—degree of freedom, ***** statistically significant if p < 0.05.