Sentence examples for tests for collinearity from inspiring English sources
The above presented tests (for collinearity, heteroskedasticity, serial correlation, and stationarity of residuals) show that OLS could be acceptable to estimate the system SyS1scr.
Tests for collinearity were undertaken.
Tests for collinearity were performed using tolerance.
Therefore the results of the tests for collinearity suggest that the models may be reasonably robust.
Tests for collinearity among independent variables were performed in Stata and are presented with the results.
Tests for collinearity were negative and missing data counted for less than 10%% of the original data in all models.
Prior to model building, we tested for collinearity among explanatory variables using Spearman's rank correlation and included only variables with ρ < 0.7 in the same model (Dormann et al. 2013).
This was done in order to compare methods like MCMuSeC, that do not explicitly test for collinearity.
Two separate multiple regression analyses, including testing for collinearity were performed to analyze relations between the number and total area of hemorrhages and different predictors pertaining either to systemic changes or to changes in ocular circulation parameters.
The full set of 18 available environmental variables was tested for collinearity (Draftsman plot and Spearman correlation matrix) and (redundant) variables with correlations (r2) >0.9 were omitted from the model; chl-a, chl-a∶phaeo, chl-a∶TOC,a nd CPE∶TOC needed log(X+0.1) transformation to compensate for skewness.
We tested for collinearity among all variables.
