Examples of using Two or more variables in English and their translations into Spanish
{-}
-
Colloquial
-
Official
Linear equation of two or more variables.
E Select two or more variables as potential components of an additive scale.
Compares the distributions of two or more variables.
E Select two or more variables of the same type(numeric or string).
Solving linear equations with two or more variables.
Create equations in two or more variables to represent relationships between quantities;
This property can be extended to two or more variables.
For polynomials in two or more variables, the degree of a term is the sum of the exponents of the variables in the term; the degree(sometimes called the total degree) of the polynomial is again the maximum of the degrees of all terms in the polynomial.
It's about quantifying the relationship between two or more variables.
A circumstance where two or more variables refer to the same object.
A correlation coefficient is a measure of degree between two(or) more variables.
Similar to experimentation,comparison seeks to decipher the relationship between two or more variables by documenting observed differences and similarities between two or more subjects or groups.
Tabulating is a usual way of presenting the associations between two or more variables.
Regression analysis is an advanced method of data visualization and analysis that allows you to look at the relationship between two or more variables.
Instead, comparative research involves the systematic cataloging of the nature and/or behavior of two or more variables, and the quantification of the relationship between them.
A literal equation is an equation that expresses a relationship between two or more variables.
Multi-variate Calculus Applications Multi-variate calculus refers to functions of two or more variables.
Scientific experiments are also commonly used to quantify the magnitude of a relationship between two or more variables.
In this new article in the series on time series with complex dynamics,I will show you a procedure to approximately reconstruct the information of a dynamic system with two or more variables from a single series, i.e.
Multiple regression uses two or more independent variables to predict the outcome.
The normal way of presenting two or more interdependent variables is the curve.
Having two or more exogenous variables can cause a number of statistical estimation problems.
Confounding variables with two or more categories or continuous values were used.
A factorial design is often used by scientists wishing to understand the effect of two or more independent variables upon a single dependent variable. .
Where two or more distinct variables in a technical regulation collectively produce an overall degree of contribution to its objective, as with the amended COOL measure, we see no reason why, in principle, adjustments that were made with respect to one of those variables could not compensate for adjustments made with respect to another such variable, so that the overall degrees of contribution of a measure and a proposed alternative measure would be equivalent.