In simple linear regression, the r² value is the ratio of SSE/SST.

Name: In simple linear regression, the r 2 value is the ratio of SSE/SST.
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In simple linear regression, the $R^2$ value, not $r²$, is the ratio of SSR (Sum of Squares due to Regression) to SST (Total Sum of Squares), which represents the proportion of variance in the dependent variable that is predictable from the independent variable.

In Simple Linear Regression, the R2 Value Is the Ratio

In Simple Linear Regression, the R² Value Is the Ratio