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ANOVA was performed to evaluate the impact of the quadratic model terms on response and quantitative effects, as shown in Table 2.
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Reduced model: Model that includes only the significant model terms based on the selected design order.
Aside from a higher expiration rate, their utility model terms are on average just over 3 years.
As was obvious from "Prob > F" values <0.0500 model terms have important effect on removal using FeCl3 as a coagulant.
All the linear terms and cross-product term X1X3 had a positive effect on the sesame biodiesel yield, while the rest of the surface quadratic model terms had negative effects on the yield.
It is desirable to indicate the influence of particular model terms that have significant effects on the response.
The approach used selects model terms (and thus parameters) based on how needed they are to explain the data analyzed.
We tested the significance of model terms by performing F tests on models fit with and without the term of interest.
We used a multiple linear regression model as previously described [ 20– 22], because it assumes that incidence rates increase linearly with increases in viral circulation and that the model terms have an additive effect on burden.
This model term has significant effect on the system compared to other interactions.
The model, termed ClaNG, is based on a coupling of the Kampmann and Wagner framework with a thermodynamic database.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com