A mathematical measure of how much one number (such as a share price) is influenced by changes in another (such as an index)....
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A standardized statistical measure of the linear relationship between two variables. Its range is from -1.0 (perfect negative correlation), through 0 (no correlation), to +1.0 (perfect positive correlation).
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A mathematical index of the degree of association between two or more measures.
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A measure of the degree of relationship between two variables. A correlation coefficient lies between +1.0 (indicating a perfect positive relationship), through 0 (indicating no relationship between two variables) to -1.0 (a perfect negative relationship).
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(from the article `statistics`) Correlation and regression analysis are related in the sense that both deal with relationships among variables. The correlation coefficient is a ... Sociologists have increasingly borrowed statistical methods from other disciplines. Statistician Karl Pearson`s `coefficient of correlation,` for ....
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A standardized statistical measure of the dependence of two random variables, defined as the covariance divided by the standard deviations of two variables.
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A mathematical of the degree of association between two or more measures.
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A correlation coefficient is a number between -1 and 1 which measures the degree to which two variables are linearly related. If there is perfect linear relationship with positive slope between the two variables, we have a correlation coefficient of 1; if there is positive correlation, whenever one variable has a high (low) value, so does the other...
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A mathematical index of the degree of association between two or more measures.
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A measure of the degree of correlation between two variables.
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A measure of association that indicates the degree to which two variables have a linear relationship; this coefficient, represented by the letter r, can vary between +1 and -1; when r = +1, there is a perfect positive linear relationship in which one variable relates directly with the other; when r = -1, there is a perfect negative linear relations...
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a numerical value that indicates the degree and direction of relationship between two variables; the coefficients range in value from +1.00 (perfect positive relationship) to 0.00 (no relationship) to −1.00 (perfect negative or inverse relationship).
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A statistical measure of the direction and strength of the linear relationship between two variables, which can range from -1.00 to +1.00.
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A statistical expression that varies between -1 and +1 depending upon how close the variables measured in a population are related. With perfect correlation, r = 1.
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Statistical measure of the degree to which the movements of two variables (stock/option/convertible
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A measure of the degree of the linear relationship between two variables.
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A measure of the closeness of the relationship between 2 variables.
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Type: Term Definitions: 1. a measure of association that indicates the degree to which two variables have a linear relationship; this coefficient, represented by the letter r, can vary between +1 and −1; when r = +1, there is a perfect positive linear relationship in which one variable relates directly with the other; when r = −1, there...
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Statistic that measures the degree of linear association between two variables. Its values vary from between -1 and 1. Perfect positive (the dependent variable increases with an increase in the independent variable) linear association has a correlation coefficient of 1. Perfect negative (the dependent variable decreases with an increase in the inde...
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[
n] - a statistic representing how closely two variables co-vary
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coefficient of 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 be...
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(r) A statistic that indicates the degree of relationship between two variables.
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one of a number of measures of correlation, usually assuming values from +1 to −1.
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A measurement that indicates the strength of the relationship between two variables. In a positive correlation, one variable increases as the other increases. In a negative correlation, one variable decreases as the other increases.
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a statistic representing how closely two variables co-vary
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