Table 3. Analysis of Variance for the Effect of the Independent Variables on the Dependent Variables and the Regression Coefficients, of the Fitted Quadratic Equations Obtained Obtained From Experimental Results; Regression Coefficients, R2, and P or Probability Values for Four Dependent Variables for rhIFN-β Production a.
Source | DF | rhIFN-β Production, mg L-1 | Acetate Excretion, g L-1 | ||||||
---|---|---|---|---|---|---|---|---|---|
Sum of Squares | Mean Square | F Value | P Value | Sum of Squares | Mean Square | F Value | P Value | ||
Model | 9 | 0.034 | 3.754E - 003 | 47.92 | 0.0003 | 5.57 | 0.62 | 24.57 | 0.0013 |
X1 | 1 | 9.112E - 003 | 9.112E - 003 | 116.33 | 0.0001 | 5.06 | 5.06 | 200.90 | ˂ 0.0001 |
X 2 | 1 | 6.125E - 004 | 6.125E - 004 | 7.82 | 0.0382 | 0.021 | 0.021 | 0.83 | 0.4028 |
X 3 | 1 | 0.013 | 0.013 | 163.4 | ˂ 0.0001 | 0.011 | 0.011 | 0.42 | 0.5466 |
X 1 X 2 | 1 | 2.025E - 003 | 2.025E - 003 | 25.85 | 0.0038 | 2.250E - 004 | 2.250E - 004 | 8.940E - 003 | 0.9283 |
X 1 X 3 | 1 | 0.000 | 0.000 | 0.000 | 1.0000 | 4.225E - 003 | 4.225E - 003 | 0.17 | 0.6990 |
X 2 X 3 | 1 | 1.600E - 003 | 1.600E - 003 | 20.43 | 0.0063 | 0.084 | 0.084 | 3.34 | 0.1271 |
X 1 2 | 1 | 2.878E - 003 | 2.878E - 003 | 36.73 | 0.0018 | 0.35 | 0.35 | 13.80 | 0.0138 |
X 2 2 | 1 | 5.308E - 003 | 5.308E - 003 | 67.77 | 0.0004 | 0.052 | 0.052 | 2.08 | 0.2085 |
X 3 2 | 1 | 1.083E - 004 | 1.083E - 004 | 1.38 | 0.2925 | 0.023 | 0.023 | 0.92 | 0.3817 |
Residual | 5 | 3.917E - 004 | 7.833E - 005 | 0.13 | 0.025 | ||||
Lack of fit | 3 | 3.250E - 004 | 1.083E - 004 | 3.25 | 0.2441 | 0.13 | 0.042 | 1257.75 | 0.008 |
Pure error | 2 | 6.667E - 005 | 3.333E - 005 | 6.667E - 005 | 3.333E - 005 | ||||
Cor. total | 14 | 0.034 | 5.69 | ||||||
SD | 8.851E - 003 | 0.16 | |||||||
Mean | 0.28 | 1.50 | |||||||
CV, % | 3.21 | 10.60 | |||||||
PRESS | 5.350E - 003 | 2.01 | |||||||
R 2 | 0.9885 | 0.9779 | |||||||
R 2 adj | 0.9679 | 0.9381 | |||||||
R 2 pred | 0.8434 | 0.6464 | |||||||
Adeq. precision | 23.698 | 13.452 |
a Abbreviations: DF, degree of freedom; PRESS, predicted residual sums of squares; CV, Coefficient of variation.