bağlantı, ilişki,eşilişki

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(Nükleer Bilimler) correlation
A reciprocal, parallel or complementary relationship between two or more comparable objects
Uses the SAS CORR Procedure to compute correlation coefficients, partial correlation and simple statistics, rank orders and significance probabilities for numeric variables Non-parametric measure of associations (Spearman's rank order, Kendall's tau-b, and Hoeffding's measure of dependence), as well as Pearson's product-moment correlation can be calculated
1 The relationship between any two random variables which may or may not be independent It may be expressed in terms of conditional probabilities or the mutual probability distribution of the random variables 2 The quadratic term in the relationship between two real-valued random variables; the expectation of the product minus the product of the expectations, suitably normalized
The correlation coefficient (r estimates rho) provides an index of the degree to which paired measures(X and Y) co-vary in a linear fashion Its values is constrained to lie between -1 and +1 r is positive (> 0) when cases with large values of X also tend to have large values of Y whereas cases with small values of X tend to have small values of Y r is negative (< 0) when cases with large values of X tend to have small values of Y and vice versa Correlation coefficients give no information about cause and effect Similarly they provide misleading information if the relationship between X and Y is non-linear
a measure of association between two variables See also Correlation coefficient
a reciprocal relation between two or more things
the Pearson product moment correlation coefficient The correlation between variables 1 and 2 is denoted by r12 The defining formula for r12 is
A statistical measure of the relationship between two or more variables
the relationship between two sets of information
A statistical measure referring to the relationship between two or more variables (events, occurrences etc ) A correlation between two variables suggests some causal relationship between these variables Typically the CHF is closely correlated with the EURO
Correlation measures the extent to which the returns on two assets move together Two assets with perfect negative correlation (-1) tend to move simultaneously in opposite directions Two assets with perfect positive correlation (+1) tend to move simultaneously in the same direction A correlation of 0 indicates that there is no relationship at all between the price movements of two assets For more, see our Tutorial on Asset Correlation
{i} mutual relation, mutual connection (between two or more things); similarity
A measure of the relationship between two data sets of variables
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
Correlation measures how two assets' returns move together Two assets that are perfectly negatively correlated (-1) tend to simultaneously move in opposite directions Two assets that are perfectly positively correlated (+1) tend to simultaneously move in the same direction A correlation of 0 indicates that there is no relationship at all between the price movements of two assets
a measure of the association between two variables, closer to 1 means a stronger correlation
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?"
Relationship between variables
A form of statistical modelling that attempts to summarise how one dataset will vary in response to another A correlation coefficient of +1 0 means that where there are high values in one set there will be high values in the other, while a correlation coefficient of -1 0 means that where there are high values in one set there will be low values in the other A correlation coefficient of 0 0 means that there is no discernible relationship between the two sets This is a form of global analysis as it only provides a single summary statistic for the entire study area
the degree of relationship (linear or curvelinear) between two variables, scores, or assessments Correlations, by themselves, do not imply cause-and-effect linkages between the two variables See Effective Teaching, Validity Coefficient, Variable
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