A model's results show increasing explanatory value as additional independent variables are added to the model. Which of the following is the most appropriate statistic?

The correct answer is A. Adjusted R2. Adjusted R² accounts for the number of predictors in the model, only increasing when a new independent variable adds genuine explanatory power beyond what random chance would predict. In contrast, plain R² will always rise (or stay the same) as you add more variables…

Modeling, Analysis, and Outcomes

Question

Options

AAdjusted R2
Bp value
Cx2
DR2

How the community answered

(15 responses)

A
87% (13)
B
7% (1)
D
7% (1)

Explanation

Adjusted R² accounts for the number of predictors in the model, only increasing when a new independent variable adds genuine explanatory power beyond what random chance would predict. In contrast, plain R² will always rise (or stay the same) as you add more variables, regardless of their true relevance.

Topics

#adjusted R²#R²#regression metrics#variable selection

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