covariate

As nouns the difference between terms and covariate

is that terms is while covariate is (statistics) a variable that is possibly predictive of the outcome under study.

As a noun covariate

is (statistics) a variable that is possibly predictive of the outcome under study.

As an adjective undefined is

lacking a definition or value.

As nouns the difference between variate and covariate

is that variate is a measurable quantity capable of taking on a number of values while covariate is a variable that is possibly predictive of the outcome under study.

As a verb variate

is to alter; or vary; to make different.

As nouns the difference between covariate and covariant

is that covariate is a variable that is possibly predictive of the outcome under study while covariant is {{cx|algebra|lang=en}} A bihomogeneous polynomial in x, y, ... and the coefficients of some homogeneous form in x, y, ... that is invariant under some group of linear transformations.

As an adjective covariant is

(Of a functor) which preserves composition.

As a noun covariate

is (statistics) a variable that is possibly predictive of the outcome under study.

As an adjective covariante is

covariant.

As nouns the difference between taxonomy and covariate

is that taxonomy is the science or the technique used to make a classification while covariate is (statistics) a variable that is possibly predictive of the outcome under study.

As nouns the difference between covariate and covariable

is that covariate is a variable that is possibly predictive of the outcome under study while covariable is covariate.

Covariate is a related term of covariance.

In statistics terms the difference between covariance and covariate

is that covariance is a statistical measure defined as $\backslash scriptstyle\backslash operatorname\{Cov\}(X,\; Y)\; =\; \backslash operatorname\{E\}((X\; -\; \backslash mu)\; (Y\; -\; \backslash nu))$ given two real-valued random variables X and Y, with expected values $\backslash scriptstyle\; E(X)\backslash ,=\backslash ,\backslash mu$ and $\backslash scriptstyle\; E(Y)\backslash ,=\backslash ,\backslash nu$ while covariate is a variable that is possibly predictive of the outcome under study.

Covariate is a related term of covary.

In statistics terms the difference between covary and covariate

is that covary is to vary together with another variable, particularly in a way that may be predictive while covariate is a variable that is possibly predictive of the outcome under study.

As a verb covary

is to vary together with another variable, particularly in a way that may be predictive.

As a noun covariate is

a variable that is possibly predictive of the outcome under study.