## Babylon English

mutual relation, mutual connection (between two or more things); similarity

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mutual relation, mutual connection (between two or more things); similarity

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Webster's Revised Unabridged Dictionary (1913)

(*n.*)

Reciprocal relation; corresponding similarity or parallelism of relation or law; capacity of being converted into, or of giving place to, one another, under certain conditions; as, the correlation of forces, or of zymotic diseases.

Webster's Revised Unabridged Dictionary (1913), edited by Noah Porter. AboutReciprocal relation; corresponding similarity or parallelism of relation or law; capacity of being converted into, or of giving place to, one another, under certain conditions; as, the correlation of forces, or of zymotic diseases.

hEnglish - advanced version

indirect correlation

kendall partial rank correlation

tau coefficient of correlation

rank-difference correlation

correlation of forces

rank-difference correlation coefficient

WordNet 2.0

1. a reciprocal relation between two or more things

(synonym) correlativity

(hypernym) reciprocality, reciprocity

(derivation) correlate

2. a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation); "what is the correlation between those two variables?"

(synonym) correlation coefficient, coefficient of correlation

(hypernym) parametric statistic

(hyponym) product-moment correlation coefficient, Pearson product-moment correlation coefficient

(derivation) correlate

(classification) statistics

3. a statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other

(synonym) correlational statistics

(hypernym) statistics

(hyponym) curvilinear correlation, nonlinear correlation, skew correlation

(part-holonym) correlational analysis

(derivation) correlate

Campbell R. Harvey's Hypertextual Finance Glossary

Applies to derivative products. Statistical measure of the degree to which the movements of two variables (stock/option/convertible prices or returns) are related. See: Correlation coefficient.

Copyright © 2000, Campbell R. Harvey. All Rights Reserved.Sean_Woo's Finance,GIS & Real Estate Glossary

1. In **portfolio theory**, the coefficient of *correlation* is used to know the extent to which two series are relative.

Note: the*correlation* may only range between **+1** and **-1**; when approaching +1, two series are positive correlated; hence if a change in one of the series, there is a high likelihood of a change of the other series in the same direction. when approaching -1, two series are negatively correlated, they will move in exactly opposite direction. when approaching 0, no relationship exits between the two series.

2. Covariance that is scaled so that values range from -1, when variables vary opposite of each other,

to 1 when they vary together.

See also covariance.

Note: the

2. Covariance that is scaled so that values range from -1, when variables vary opposite of each other,

to 1 when they vary together.

See also covariance.

Glossary of Sociology

The relationship between two variables in which they vary together--say a correlation between the income of parents and reading ability among primary school children. Statistical correlation can vary from -1 to 1 (a 0 indicates no correlation between the variables). A positive correlation between two variables exists where a high score on one is associated with a high score on the other. A negative correlation is where a high score on one variable is associated with a low score on the other.

Environmental Economics Glossary

Learning, Performance and Training Definitions

The relationship between two sets of data, that when one changes, the other is likely to make a corresponding change. If the changes are in the same direction, then there is a positive correlation. If it is in the opposite direction, then it is a negative correlation.

Donald ClarkEIA Energy Glossary

In its most general sense, correlation denotes the interdependence between quanitative or qualitative data. It would include the association of dichotomized attributes and the contingency of multiple classified attributes. The concept is quite general and may be extended to more than two variates. The word is most frequently used in a somewhat narrower sense to denote the relationship between measurable variates or ranks.

Source: Energy Information Administration, 2006Electronic Statistics Textbook

Correlation is a measure of the relation between two or more variables. Correlation coefficients can range from -1.00 to +1.00. The value of -1.00 represents a perfect negative correlation while a value of +1.00 represents a perfect positive correlation . A value of 0.00 represents a lack of correlation.

See also, Correlation , Partial Correlation , Pearson Correlation and Spurious Correlations .

See also, Correlation , Partial Correlation , Pearson Correlation and Spurious Correlations .

Web Dictionary of Cybernetics and Systems

Covariation of two or more variables; a relation between the values of two or more variables that is manifest in the variation of cooccurrances. In statistics, that form of an association in which an increase in the value of one variable tends to either increase the values of the other (positive correlation) or decrease the values of the other (negative correlation) rendering one variable (linearly or non-linearly) dependent on the other. (Krippendorff )

Wikipedia English - The Free Encyclopedia

In statistics, **dependence** is any statistical relationship between two random variables or two sets of data. **Correlation** refers to any of a broad class of statistical relationships involving dependence.

See more at Wikipedia.org... |

Environmental Engineering (English ver.)

(Statistics) A statistical means to measure the degree of "coincidence of change" between two variables, producing a value of variance termed the Correlation Coefficient. In strict correlation analysis, no inference of causation, i.e., one variable being "explained" by the variations of another, is made. Therefore, high correlations do not provide for an inference of causality; one must use previous information that the two sampled variables are indeed related to one another. The concept of the Coefficient of Determination, on the other hand, used as a common measure of "Goodness of Fit" in Regression Analysis, is used to assess the degree of causation between two variables or between one or more independent variables and a single dependent variable. The coefficient of determination is equivalent to the square of the correlation coefficient and reflects the percent of change in the dependent (explained) variable that is explained by the variations in the independent (explanatory) variable.

Hepatitis Central (TM) Liver Disease Medical Glossary

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