collinearity

Significant collinearity was present only for the analyses that included both white and red wine intake.

It also allows complete militation against collinearity through experimental design.

In statistics, collinearity refers to a linear relationship between two explanatory variables.

Thus, concurrency is the plane dual notion to collinearity.

X. Collinearity then generalizes to the relation of "independence".

For model convergence, and therefore parameter estimation, it is often necessary that the data have little or no collinearity.

An example of a ternary relation in elementary geometry is the collinearity of points.

This fact provides a tool for proving collinearity of the circumcenter, centroid and orthocenter.

RP data is vulnerable to collinearity since the data is effectively from the wild world of reality.

The dual of concurrency is collinearity.

From this viewpoint there are no distances, but collinearity and ratios of distances on any line are preserved.

Synteny and collinearity in plant genomes.

In geometry, collinearity is a property of a set of points, specifically, the property of lying on a single line.

Therefore there exists a way to exchange lines with points in such a way that concurrency is exchanged with collinearity.

The duality mapping g is an isomorphism with respect to the incidence properties (such as collinearity and concurrency).

Small eigenvalues are consistent with collinearity between the covariate factors, and thus these values are indicative of an age/color collinear condition.

Affinity (mathematics), an affine transformation (which preserves collinearity)

The collinearity graph having as vertices the points of a generalized quadrangle, with the collinear points connected.

Substitution of these expressions, leads to a set of two equations, known as the collinearity equations:

The geometry focuses on topics such as collinearity, concurrency, and concyclicity, as they do not involve the measures listed previously.

The boards may be arbitrary directed graphs, but standard grid-like boards are easier to produce and have built-in support for detecting collinearity.

When the distance d(a,b) between two points a and b is defined, the collinearity between three points may be expressed by:

The presence of collinearity implies that there is missing information, as one or more of the collinear factors is redundant and adds no new information.

It includes a perceptual unit or group, namely, elements in a visual field (stimuli) organised coherently by Gestalt factors such as collinearity, closure, and symmetry.

The collinearity relation between points; i.e., points which lie on the same line (called collinear points) continue to be collinear after the transformation.