Which of the following statement is true for the R square value in the regression model?

The correct answer is A. When R square =1 , all the residuals are equal to 0 C. R square can be increased by adding more variables to the model. D. R-squared never decreases upon adding more independent variables. R square can be made high, it means when we add more variables R-square will increase. And R- square will never decreases if you add more independent variables. Higher R square value can have lower the residuals.

Model Evaluation and Validation

Question

Options

AWhen R square =1 , all the residuals are equal to 0
BWhen R square =0, all the residual are equal to 1
CR square can be increased by adding more variables to the model.
DR-squared never decreases upon adding more independent variables.

How the community answered

(50 responses)

A
78% (39)
B
22% (11)

Explanation

R square can be made high, it means when we add more variables R-square will increase. And R- square will never decreases if you add more independent variables. Higher R square value can have lower the residuals.

Topics

#R-squared#regression metrics#model evaluation#overfitting

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