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These variables are explained below.
Mathematical correlations of variables are explained with examples and worked solutions.
Between 19 and 78 % of the variance within the observed variables are explained by the factors.
The most common types of IVs and the guidelines for selecting appropriate variables are explained.
Before description of the objective functions and model, the sets, indices, parameters and decision variables are explained.
The variables are explained in detail in Table 1.
Similar(51)
The total determination coefficient (R) was 0.9123, which indicates that 91.23% of the variability in the response variables was explained and only 8.77% of the total variation was not explained using the model.
(2 where the meaning of variables is explained in Table 1.
The donations of the variables were explained in [15].
The operationalization of these node and place variables is explained in detail in the Methods section.
The description of data and forming of variables is explained in Appendix.
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