In statistics, a covariate is a variable that is possibly predictive of the outcome under study. A covariate may be of direct interest or it may be a confounding or interacting variable.
The alternative terms explanatory variable, independent variable, or predictor, are used in a regression analysis. In econometrics, the term "control variable" is usually used instead of "covariate". In a more specific usage, a covariate is a secondary variable that can affect the relationship between the dependent variable and other independent variables of primary interest.
An example is provided by the analysis of trend in sea level by Woodworth (1987). Here the dependent variable (and variable of most interest) was the annual mean sea level at a given location for which a series of yearly values were available. The primary independent variable was time. Use was made of a covariate consisting of yearly values of annual mean atmospheric pressure at sea level. The results showed that inclusion of the covariate allowed improved estimates of the trend against time to be obtained, compared to analyses which omitted the covariate.
Some unions are based on trust
Some unions are a must
Trussed up like a turkey
Upside down on a turn key-you and me
some like it on the other side
Others like to play both sides
CHORUS
Big Girls big joys big toys
I got you covered
I got you covered
I'll give you gristle-you blow the whistle
Waiter service-wait for this miss
And don't you diss this-this is bliss miss
Around the world with this Miss
Disgusting lewd rudeness
Secretly seductive, spontaneous combustive
Happiness a penis-I give I give I give...
CHORUSYou can wear high heals in unusual places
And different situations can fit into new faces
Somebody's like to roll in a sleaze
Never mind me-just do as you please
All these implications
All these connotations
The pleasure in the leisure
Without the complications
CHORUS
I give I give I give...