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correlation |
Also found in: Dictionary/thesaurus, Financial, Encyclopedia, Wikipedia, Hutchinson | 0.03 sec. |
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correlation /cor·re·la·tion/ (kor?e-la´shun) in statistics, the degree and direction of association of variable phenomena; how well one can be predicted from the other. correlation, n a statistical procedure used to determine the degree to which two (or more) variables vary together. Correlation does not suggest a cause-effect relationship but only the degree of parallelism or concomitance between the variables, the cause of which may be unknown. The Pearson product-moment correlation (r) is the most frequently used, and this coefficient is used unless another is specified. correlation, coefficient number n the result of statistical computation that indicates the strength of the tendency of two or more variables to vary concomitantly. The coefficient is expressed in fractions (that is, r = 80), ranging from 21 to 11, and indicates the magnitude of the relationship between the variables. Perfect direct correspondence is expressed by 11; perfect inverse correspondence by 21; complete lack of correspondence by 0. Fractional values are not read as percents. correlation, linear, n a correlation in which the regression line, the line that best describes the relationship between the two variables, is a straight line, so that for any increase in the magnitude of one variable there will be a proportional change in the magnitude of the other variable. correlation, multiple, n a complex correlation procedure in which scores on two or more variables are combined to predict scores on another variable, called the dependent variable. correlation 1. in neurology, the union of afferent impulses within a nerve center to bring about an appropriate response. 2. the degree to which statistical variables vary together. correlation coefficient see correlation coefficient. |
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? Mentioned in | ? References in periodicals archive | |
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The correlation coefficient between storage energy and loss energy obtained using both the mentioned testers were calculated and the coefficient of correlation value was found to be 0. To examine the above hypotheses, the following statistics were computed: 1) coefficient of correlation between variables of interest; 2) DP coefficient, the difference between the mean item scores made by the top 27% and the bottom 27% of respondents in terms of total scale score; 3) t-ratio of the DP coefficient; 4) frequency of response to each alternative for each item; and 5) the Cronbach alpha. p] = confidence interval based on double sampling error; Coefficient of correlation was r = 0. |
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