correlational statistics

Noun
  1. 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 (synset 106040778)
    is a type of: statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
    subtypes:
    • curvilinear correlation, nonlinear correlation, skew correlation - any correlation in which the rates of change of the variables is not constant
    • partial correlation - a correlation between two variables when the effects of one or more related variables are removed
    • direct correlation, positive correlation - a correlation in which large values of one variable are associated with large values of the other and small with small; the correlation coefficient is between 0 and +1
    • indirect correlation, negative correlation - a correlation in which large values of one variable are associated with small values of the other; the correlation coefficient is between 0 and -1
    • spurious correlation - a correlation between two variables (e.g., between the number of electric motors in the home and grades at school) that does not result from any direct relation between them (buying electric motors will not raise grades) but from their relation to other variables
    is a part of: correlational analysis - the use of statistical correlation to evaluate the strength of the relations between variables
    same as: correlation

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