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The method regards a gene as DE if the coefficients of its fitted model are significant for any time variable.
The obtained response surface and mathematical model are significant with high correlation coefficients (R2 = 0.8794).
The findings indicate that the relationships in the proposed model are significant and moderated by users' cultural values, specifically uncertainty avoidance, individualism and time orientation.
However, most variables in the model are significant and therefore not affected by this identification problem.
All diagnostic statistics given for the logistic regression model are significant at α = 0.05.
As shown in Table 2, the p value of the regression model is <0.05, which indicates that the results from the model are significant.
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Analysis of variance showed that the contribution of quadratic model was significant for the extraction yield and antioxidant activity whereas linear model was significant for pectin content.
The overall model was significant (P=0.0013) as was Hsd (P<0.0001).
The overall model was significant as were all variables (P<0.05).
This value indicated that the quadratic model was significant.
The results of the validation showed the model was significant.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com