Definitions for Correlationˌkɔr əˈleɪ ʃən, ˌkɒr-

This page provides all possible meanings and translations of the word Correlation

Random House Webster's College Dictionary

cor•re•la•tionˌkɔr əˈleɪ ʃən, ˌkɒr-(n.)

  1. mutual relation of two or more things, parts, etc.

  2. the act of correlating or the state of being correlated.

  3. (in statistics) the degree to which two or more attributes or measurements on the same group of elements show a tendency to vary together.

    Category: Statistics

Origin of correlation:

1555–65; < ML

cor`re•la′tion•al(adj.)

Princeton's WordNet

  1. correlation, correlativity(noun)

    a reciprocal relation between two or more things

  2. correlation coefficient, coefficient of correlation, correlation(noun)

    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?"

  3. correlation, correlational statistics(noun)

    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

Wiktionary

  1. correlation(Noun)

    A reciprocal, parallel or complementary relationship between two or more comparable objects

  2. correlation(Noun)

    One of the several measures of the linear statistical relationship between two random variables, indicating both the strength and direction of the relationship.

Webster Dictionary

  1. Correlation(noun)

    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

Freebase

  1. Correlation and dependence

    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. Familiar examples of dependent phenomena include the correlation between the physical statures of parents and their offspring, and the correlation between the demand for a product and its price. Correlations are useful because they can indicate a predictive relationship that can be exploited in practice. For example, an electrical utility may produce less power on a mild day based on the correlation between electricity demand and weather. In this example there is a causal relationship, because extreme weather causes people to use more electricity for heating or cooling; however, statistical dependence is not sufficient to demonstrate the presence of such a causal relationship. Formally, dependence refers to any situation in which random variables do not satisfy a mathematical condition of probabilistic independence. In loose usage, correlation can refer to any departure of two or more random variables from independence, but technically it refers to any of several more specialized types of relationship between mean values. There are several correlation coefficients, often denoted ρ or r, measuring the degree of correlation. The most common of these is the Pearson correlation coefficient, which is sensitive only to a linear relationship between two variables. Other correlation coefficients have been developed to be more robust than the Pearson correlation – that is, more sensitive to nonlinear relationships. Mutual information can also be applied to measure dependence between two variables.

British National Corpus

  1. Written Corpus Frequency

    Rank popularity for the word 'Correlation' in Written Corpus Frequency: #4572

  2. Nouns Frequency

    Rank popularity for the word 'Correlation' in Nouns Frequency: #2046

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