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Coefficient of determination

In statistics, the coefficient of determination, denoted R² or r² and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable. Wikipedia
Range: 0 to 1
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R-squared is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable.
In statistics, the coefficient of determination, denoted R2 or r2 and pronounced "R squared", is the proportion of the variation in the dependent variable ...
Coefficient of determination (R-squared) indicates the proportionate amount of variation in the response variable y explained by the independent variables X ...
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R-squared measures the strength of the relationship between your linear model and the dependent variables on a 0 - 100% scale. Learn about this statistic.
A statistical measure that determines the proportion of variance in the dependent variable that can be explained by the independent variable.
Generally, a higher adjusted R-squared indicates a better fit of the regression model to the data. However, the acceptable value varies among different fields ...
Definition. The coefficient of determination, or R2 R 2 , is a measure that provides information about the goodness of fit of a model.
Mar 28, 2023 · R-Squared (R²) is a statistical measure used to determine the proportion of variance in a dependent variable that can be predicted or explained ...