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The computed regression equation's accuracy of fit is gauged by the multiple coefficient of determination.
What does multiple linear regression's coefficient of determination mean?
A statistical measure in a regression model called the coefficient of determination (R2 or r-squared) identifies the percentage of variance in the dependent variable that can be explained by the independent variable.
What does coefficient of determination mean?
The coefficient of determination is most frequently used to determine how well a regression model fits observed data. A 60% coefficient of determination, for instance, indicates that 60% of the data are consistent with the regression model. A higher coefficient often indicates a better model fit.
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