In regression analysis, the value of R² is influenced by the number of predictor variables relative to sample size.

Question

Quizplus · Accepted Answer

This is true. When the number of predictor variables is too high relative to sample size, it can result in overfitting, which can reduce the accuracy of the regression analysis results. On the other hand, having too few predictor variables relative to sample size may lead to underfitting, which can also reduce the accuracy of the results. Therefore, finding an appropriate balance between the number of predictors and sample size is important in regression analysis.

In Regression Analysis, the Value of R2 Is Influenced by the Number

In Regression Analysis, the Value of R² Is Influenced by the Number