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By plotting the principal components it is possible to view statistical relationships between different variables in complex datasets and detect and interpret sample groupings, similarities or differences, as well as the relationships between the different variables [ 40].
The model characterises the relationships between different variables in an adaptable building system, and invites comment on the opportunities and challenges that must still be met to facilitate the exploitation and development of such a concept.
It produces relevant or interesting relations between different variables in the dataset in the form of association rules.
It is noteworthy that it determines the correlation between different variables in order to estimate the prediction through different types of mathematical models as linear or quadratic (Walpole, Myers, Ye, & y Myers, 2012).
As was said above, using ML techniques will make it possible to exploit the correlation between different variables in H.264/AVC and the MB decision mode; so, in this framework, ML is used in order to create rules from these relationships to narrow down the MB types that the SVC encoder has to check.
Correlations between different variables in patients were assessed with the Spearman rank correlation test.
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Interrelationship studies between different variables helps in promoting research and opening new frontiers of knowledge.
Because of the interdependence between different variables analysed in this study, we chose not to use Bonferroni correction.
The relationship between different variables involved in the clinical learning process of the undergraduate medical students have been studied and a model that explains how these variables work together for the effectiveness of the clinical rotation was proposed by Dolmans, et al. [ 16].
However, interaction terms (* instead of +) between different variables were tested in the model resulting in nonsignificant regression coefficients with large standard errors.
Split-line regression analysis was used to explore the relationships between different variables and relative difference in longevity.
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