<p><i>R<sup>2</sup></i> = 96.73%; Adj <i>R<sup>2</sup></i> = 93.78%.</p><p><i>P</i> value less than 0.05 indicates that the model terms are significant.</p><p><i>P</i> value less than 0.01 indicates that the model terms are highly significant.</p
<p>Analysis of variance (ANOVA) for the fitted quadratic polynomial regression model for optimizatio...
<p>Determination of coefficient R<sup>2</sup> = 0.9611; adjusted determination coefficient Adj R<sup...
<p>Analysis of variance (ANOVA) for the response surface quadratic model of the T-E5 population base...
<p><i>R</i><sup>2</sup> = 0.9876; coefficient of variation (CV) = 4.2%; Adj.<i>R</i><sup>2</sup> = 0...
<p>Note: DF refers to degrees of freedom; SS refers to sum of sequences; MS refers to mean square.</...
<p>*Significant (<i>P</i> < 0.05).</p><p>ANOVA for the response surface quadratic model.</p
<p><i>R</i><sup>2</sup> (coefficient of determination) = 0.9975; Adj <i>R</i><sup>2</sup> (Adjusted...
a<p><i>C<sub>N</sub></i>, NH<sub>4</sub>Cl concentration (mM); <i>TES</i>, the element solution (ml)...
<p>The table shows the outcome of ANOVA for the quadratic model. DF -Degrees of Freedom, Seq SS- seq...
<p><i>R</i><sup>2</sup> = 0.9974 Adj <i>R</i><sup>2</sup> = 0.9927; CV = 1.62%.</p>a<p>Model terms a...
1)<p>Degrees of freedom.</p><p>*Significant at a level of 0.05; **Significant at a level of 0.01.</p
<p>Note: SS – sum of squares. DF – degrees of freedom. MS – mean sum of squares. <i>P</i>-value <0.0...
<p>Where, Xi, XiXj and Xi<sup>2</sup> are the linear and interaction terms of the quadratic polynomi...
<p>R-Squared = 0.998188; Adj R-Squared = 0.996377; Pred R-Squared = 0.990466.</p
a<p>Significant parameter, <i>F</i><sub>0.05</sub> (2, 8) = 4.46, <i>F</i><sub>0.05</sub> (4, 8) = 3...
<p>Analysis of variance (ANOVA) for the fitted quadratic polynomial regression model for optimizatio...
<p>Determination of coefficient R<sup>2</sup> = 0.9611; adjusted determination coefficient Adj R<sup...
<p>Analysis of variance (ANOVA) for the response surface quadratic model of the T-E5 population base...
<p><i>R</i><sup>2</sup> = 0.9876; coefficient of variation (CV) = 4.2%; Adj.<i>R</i><sup>2</sup> = 0...
<p>Note: DF refers to degrees of freedom; SS refers to sum of sequences; MS refers to mean square.</...
<p>*Significant (<i>P</i> < 0.05).</p><p>ANOVA for the response surface quadratic model.</p
<p><i>R</i><sup>2</sup> (coefficient of determination) = 0.9975; Adj <i>R</i><sup>2</sup> (Adjusted...
a<p><i>C<sub>N</sub></i>, NH<sub>4</sub>Cl concentration (mM); <i>TES</i>, the element solution (ml)...
<p>The table shows the outcome of ANOVA for the quadratic model. DF -Degrees of Freedom, Seq SS- seq...
<p><i>R</i><sup>2</sup> = 0.9974 Adj <i>R</i><sup>2</sup> = 0.9927; CV = 1.62%.</p>a<p>Model terms a...
1)<p>Degrees of freedom.</p><p>*Significant at a level of 0.05; **Significant at a level of 0.01.</p
<p>Note: SS – sum of squares. DF – degrees of freedom. MS – mean sum of squares. <i>P</i>-value <0.0...
<p>Where, Xi, XiXj and Xi<sup>2</sup> are the linear and interaction terms of the quadratic polynomi...
<p>R-Squared = 0.998188; Adj R-Squared = 0.996377; Pred R-Squared = 0.990466.</p
a<p>Significant parameter, <i>F</i><sub>0.05</sub> (2, 8) = 4.46, <i>F</i><sub>0.05</sub> (4, 8) = 3...
<p>Analysis of variance (ANOVA) for the fitted quadratic polynomial regression model for optimizatio...
<p>Determination of coefficient R<sup>2</sup> = 0.9611; adjusted determination coefficient Adj R<sup...
<p>Analysis of variance (ANOVA) for the response surface quadratic model of the T-E5 population base...
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