Coefficient of determination
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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
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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.
Duration: 11:01
Posted: Nov 18, 2022
Posted: Nov 18, 2022
Definition. The coefficient of determination, or R2 R 2 , is a measure that provides information about the goodness of fit of a model.
SSR is the "regression sum of squares" and quantifies how far the estimated sloped regression line, ^yi y ^ i , is from the horizontal "no relationship line," ...
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