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To quantify the relationship between locust infestation risk area and environmental factors, we calculated the coefficient of determination (R²) between variables performing bivariate nonlinear regression analysis (third-order polynomial).
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The IC50was determined using nonlinear regression analysis.
We show this nonlinear regression analysis result graphically on Figure 1. Figure 1 Nonlinear regression analysis at (pmb{t=0.25}).
Ki values were determined by nonlinear regression analysis using PRISM GraphPad Softwaree).
Equation 1 was deduced for the two-state model by nonlinear regression analysis.
In particular, nonlinear regression analysis was performed using the nls function.
EC50 was calculated by nonlinear regression analysis using Graph Pad Prism 4.01 software, San Diego, CA, USA.
Data were plotted by nonlinear regression analysis (curve fit) using Graphs Pad Prism software (version 5).
Accordingly, we used nonlinear regression analysis.
Using nonlinear regression analysis (GraphPad Prism 5, GraphPad Inc).
SA3N Iconcentrationsions were determined using nonlinear regression analysis.
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