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Multiple regression tests have shown little or no independent interaction of body weight or height with those relationships [ 64].
Data were analyzed by independent t-student's, chi-square, Pearson correlation, and stepwise multiple regression tests.
Residual genus richness was significantly correlated to clutch size in non-phylogenetic focused tests (Table 5) and in both multiple regression tests while longevity was only a significant predictor in multiple regression tests (Table 6 and 7).
In addition, multiple regression tests a predictive model with only one dependent variable (i.e., a single test score) which generally does not provide adequate representation of constructs of interest because of imperfect reliability and validity [ 10].
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A central composite design was used and mathematical models are developed by multiple regression test.
Simple and multiple regression, testing, estimation, prediction, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares.
Multiple regression tested these indicators against each of 4 specified management goals, reflecting soil quality attributes, i.e., sodium adsorption ratio (SAR) of soil solution, infiltration rate, soil loss, and cotton yield.
The multiple regression test provided a significant result.
The multiple regression test, in this regard provided a significant result.
The multiple regression test shows a significant coefficient at the 5% threshold and allows us to conclude the acceptance (H1) proposing that the characteristics of the company significantly influence their survival and in particular increase the continuity and survival of newly created projects.
A multiple regression test was also used.
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