If [r.sub.12] is high, then this colinearity
can increase standard errors in real-world analyses and make the estimates unstable, although not biased in the statistical sense of expectation (Schisterman et al.
Thus, there is no colinearity
among the selected descriptors, and the obtained model is stable.
Some facts can also show that more sample data can increase estimation accuracy relieve colinearity
, minute estimation error can result in significant effect, and different patterns can emerge, which may prove the fact that the nonlinear system remarkably depends on the system parameters and initial state.
Given that this regression model showed problems of colinearity
due to the relationship between the different addictions, a stratified analysis was performed to detect the presence or non-presence of addiction to alcohol and cocaine.
, we can observe that all the variables have a tolerance index above 0.4, and the VIF is in all variables clearly below 10 and following Belsley's criteria, condition index indicates no colinearity
Due to its advantage of dimension reduction, synthesis, and solving colinearity
problems among independent variables, partial least squares regression (PLSR) has been proved as a robust and reliable approach in spectral quantitative research [7, 33-35].
is in most cases unavoidable in spectroscopy, as there are significantly more variables (waveshifts) than samples (observations).
Regarding this correlation and in order to prevent colinearity
, potassium was not entered in the multiple logistic model while sodium was present.
Measurements of location of body fat: An assessment of colinearity
with body mass, adiposity and stature in female adolescents.
Dysmorphic osseous characteristics include colinearity
of the upper portion of the sacrum and the iliac crests, noncircular anterior sacral foramina, residual upper sacral discs, etc.
(2) One of the assumptions of the multiple regression model is the lack of colinearity
. It means that no variable provides the model with the information which is contained in other variables (Stanisz, 2007).
However, in this model, VIF is greater than 5 for almost all the predictors (except diastolic blood pressure) showing that there is problem concerning the predictors' colinearity