The value of $R ^ { 2 }$ is only useful when the number of data points is substantially larger than the number of $\beta$ parameters in the model.

Name: The value of $R ^ { 2 }$ is only useful when the number of data points is substantially larger than the number of $\beta$ parameters in the model.
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$R^2$ can be misleading in models with a high number of parameters relative to data points, as it may indicate overfitting rather than a good fit.

The Value Of R2R ^ { 2 }R2 Is Only Useful When the Number of Data Points Is

The Value Of $R ^ { 2 }$ Is Only Useful When the Number of Data Points Is