In statistics, it refers to the part of a given data that can be explained by a mathematical model. Variance is usually used to quantify variation, so it is also called explanatory variance.

In statistics, the determining coefficient (R or R) is used to measure the proportion of the variation of dependent variables that can be explained by independent variables, so as to judge the explanatory power of statistical models.

For simple linear regression, the determining coefficient is the square of the sample correlation coefficient. When other regression independent variables are added, the determining coefficient becomes the square of multiple correlation coefficient.

Extended data

Cause of variation

The whole is homogeneous, for example, for all industrial enterprises in a certain area, the constant signs are "a certain area" and "industry", which define the scope of each unit in the whole; However, the overall unit often has different specific forms of expression, and "variation" is used to describe the difference of quality marks between different overall units under the same overall situation.

For example, when each employee of this industrial enterprise is taken as a whole unit, gender is used to describe the change of quality marks of each employee (whole unit).

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Baidu Encyclopedia-Explanatory Variation