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UNIVERSITAT POLITÈCNICA DE VALÈNCIA Desarrollo ... - RiuNet

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IV. Resultados y discusión. Capítulo II 173<br />

and on the R 2 adj, which provide a measurement of how much of the<br />

variability in the observed response values could be explained by the<br />

experimental factors and their interactions (Granato et al., 2010). Table 3<br />

summarises the estimated regression coefficients of the second order model<br />

obtained, in which fit parameters from the analysis of variance are included.<br />

Table 3. ANOVA results from the CCD with RSM used in the study adjusted<br />

to a second order equation.<br />

Source<br />

Regression coefficient/Value<br />

Constant 4.864<br />

Glucose -0.304<br />

Fructose -0.662*<br />

Inulin 0.437<br />

Inoculum 1.042**<br />

Glucose x Fructose 0.145*<br />

Fructose x Fructose 0.076*<br />

Fructose x Inoculum 0.099*<br />

Inulin x Inulin -0.076**<br />

Inoculum x Inoculum -0.098**<br />

p-value of lack-of-fit 0.793<br />

R 2 0.73<br />

R 2 -adj 0.61<br />

Standard error of est. 0.153<br />

Mean absolute error 0.079<br />

R 2 = coefficient of determination R 2 -adj = explained variance<br />

*: statistically significant at 90% of confidence level<br />

**: statistically significant at 95% of confidence level

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