The computed regression equation's accuracy of fit is gauged by the multiple coefficient of determination.
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.
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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