colinearity


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col·in·e·ar·i·ty

(kol'in-ē-ar'i-tē),
1. Lying in a straight line.
2. The phenomenon that the orderings of the corresponding elements of DNA, the RNA transcribed from it, and the amino acid sequence translated from the RNA are identical.
[L. collineo, to direct in a straight line]

col·in·e·ar·i·ty

(kō'lin-ē-ar'i-tē)
1. Lying in a straight line.
2. The phenomenon that the orderings of the corresponding elements of DNA, the RNA transcribed from it, and the amino acid sequence translated from the RNA are identical.
[L. collineo, to direct in a straight line]
Colinearityclick for a larger image
Fig. 115 Colinearity . The DNA bases are transcribed from left to right.

colinearity

the linear relationship between a piece of DNA coding (a CISTRON) and the POLYPEPTIDE CHAIN (see Fig. 115 ). Therefore:
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In the absence of unmeasured confounding, including correlated components of a mixture in the same regression model can in principle avoid confounding by coexposures and identify the independent effect of each component; colinearity can make this difficult in practice because of effects on precision.
Table 2 Multiple regression analysis on Proactive Networking Behavior Coefficients (a) Non-standardized Standardized Variables coefficients -coefficients Student's t Value Estandat error value (Constante) -.368 1.080 -.341 Well_being .745 .134 .605 5.547 Sociability .495 .117 .374 4.247 Gender -1.514 .301 -.517 -5.033 OfflineNet .400 .083 .570 4.795 OnlineNet .109 .049 .179 2.228 Coefficients (a) Colinearity Variables p-value statistics Tolerance VIF (Constante) .735 Well_being .000 .483 2.070 Sociability .000 .741 1.349 Gender .000 .545 1.835 OfflineNet .000 .406 2.460 OnlineNet .032 .893 1.120 Note.
Dysmorphic osseous characteristics of the sacrum include colinearity of the upper portion of the sacrum and the iliac crests, presence of mammillary bodies at the sacral ala, noncircular anterior sacral foramina, residual upper sacral discs etc.
The VIF factor in all cases is smaller than 5 showing negligible colinearity between predictors.
Since financial status and employment status were highly correlated, separate multivariate models were constructed for each of them to avoid colinearity. A p value < 0.05 was considered as statistically significant and odds ratios with 95% confidence interval were calculated.
Insignificant value, also proving problems with colinearity, is devoted to the number of customers in years 2010 (Q24-2010) and 2011 (Q24-2011).
() Dummy variables had been omitted due to a risk of colinearity which has made convergence of the optimization algorithms impossible.
Colinearity among factor questions was reviewed and found to be at acceptably low levels.
To account for colinearity, a correlation matrix of all continuous variables was calculated for each species.
A VIF of 2.573 was obtained, it being concluded that there is a tolerable level of colinearity (Levine, Berenson, & Stephan, 2000).