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To examine whether the tested variables were correlated, output files also included information on the correlations among all pairs of explanatory variables.
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Fig. 3 Scatterplot of each pair of explanatory features and dependent variable (importance index) in the final dataset for the period between 1991 and 2011.
Each of these classifiers consists of a pair of explanatory variables, generically denoted by X and Y, corresponding to two candidate alleles in the SNP position [Additional file 13].
To construct our model, we first examined correlation coefficients of all pairs of putative explanatory variables.
The assumption of proportional odds signifies that the ratio of the odds of the event Z ij ≤ c for any pair of sets of explanatory variables is independent of the category c.
Relationships between pairs of dependent and explanatory variables identified in the regressions were demonstrated using scatter diagrams, box and whisker diagrams, Pearson Correlation coefficients and/or mean score analyses.
All three stood before the display of explanatory material, reading.
This requires models of explanatory scope. 5.
Table 2 Descriptive statistics of explanatory variables.
β n = Coefficients of explanatory variables.
Xint = a vector of explanatory variable.
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