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The concentration (g/kg) of SID lysine in canola meal may be predicted by regression equations using the concentration (g/kg) of reducing sugars in the meal (r2 = 0.96).
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Oil production is predicted by the law of production decline, and water cut is predicted by regression equation of water drive characteristic curve.
To verify the prediction accuracy of Hypo1_A and Hypo1_B, training set of AChE and BChE inhibitors was used and the activity of each compound in training set was predicted by regression analysis.
The trajectory can be predicted by the regression line [27] in Eq. 17: y=bx+a+epsilon (17).
Thus, not only are the FDVW rates and average GPAs higher than ever before, but even with the given FDVW rate, the GPA is significantly higher than that could be predicted by linear regression.
A standard calibration curve of known cell numbers inoculated vs. photon flux measurements was developed such that cell numbers, along with their confidence intervals, could be predicted by inverse regression calibration (see Serum S100A6 Quantification and Data Analysis below).
The higher divergence rate of this latter subset was discordant with its observed p PUS/p NSel value, which was lower than what would be predicted by the regression model.
Future urban expansion in the study area will be predicted by a logistic regression cellular automaton, while eco-protected areas will be delimitated using multi-objective optimization algorithm.
The age of the ancestral HIV-1 B sequence can be predicted by extrapolating the regression line back to where the fraction of ancestral epitopes or epitope precursors in HIV-1 sequences becomes one, assuming that the loss over time has been linear.
To test whether the parameter estimates of the interaction terms could be predicted by trait anxiety, regression models were set up at the group level.
The variations in turbidity measurements were small (ranging from <1 to 4 NTU) but significant; over half of the variation in the daily mean ENT in waters along the beach could be predicted by a linear regression with turbidity alone (adjusted R = 0.53).
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