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.

Question

Quizplus · Accepted Answer

R-squared is a measure of how well the model explains the variability of the response data. When the number of data points is not substantially larger than the number of parameters, R-squared can be misleading due to overfitting.

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