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Correlation-regression analysis


Correlation-regression analysis

Regression analysis is a method of establishing an analytical expression of the relationship between the analyzed analytical features.

Unlike correlation analysis, which only answers the question of whether there is a relationship between the analyzed features, regression analysis also gives its formalized expression. In addition, if the correlation analysis studies any relationship of factors, then the regression analysis studies one-sided dependence, i.e. a link showing how a change in factor signs affects the resultant sign.

It is assumed that as a result of such an analysis, a regression dependence will be built (ie, a regression analysis will be carried out) and its tightness and significance coefficients will be calculated (ie, a correlation analysis will be carried out). In a sense, the correlation is more general, since it does not imply the existence of a cause-and-effect relationship.

Dependencies can be direct, inverse or non-linear.