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The size of each dot is proportional to its mass, which is considered in the calculation of the regression line.
The linear dependence of the peak area ratio versus the concentration of the drug was shown by calculation of the regression equation previously mentioned.
Consequently, because logarithms of negative numbers do not exist, such data cannot validly be used to contribute towards the calculation of the regression relationship on logarithmic scales.
With the random intercepts accounted for in the calculation of the regression coefficients, the results report the population-wide effect of the predictor variables on the dependent variable (Hamilton 2013, p. 394).
The experiments were performed in a random order on three levels for each factor using a face-centered cube central composite response surface design (Table 2) that provides enough information for calculation of the regression model containing linear, interactions, and curved factor effects.
Variables were log10 transformed prior to calculation of the regression slope.
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For this method, we used Gustavo de los Campos' software written in R. The code implements the calculation of the ridge regression estimation of the marker effects discussed in the ridge regression section and uses these estimates to perform the prediction for the individuals in the testing set.
The calculation of the multivariate regression models was done using R (v 2.15.2) and rpy2 (v 2.3.0).
Using the data from 22 to 138 h for the bottom layer (3.6 4.7 m) in calculation of the linear regression coefficient gave the data for transport rate versus density gradient for this layer, which showed a similar relationship as the other two layers (Fig. 6).
For the calculation of the independent regression variables from the multidimensional NETCDF datasets, the programming language Python was used.
The assumption here is that the temporary exclusion of aberrations allows for a more appropriate calculation of the LOWESS regression curve.
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