Why is Adjusted R preferred to R to assess the fit of a regression model? Because R² substantially underestimates the variability of the dependent variable accounted for by the independent variables Because R² measures a less relevant type of model fit than adjusted R² Because R² always increases when variables are added to the model Because R² does not account for the possibility of the non-normal distribution of the dependent variable.
Why is Adjusted R preferred to R to assess the fit of a regression model? Because R² substantially underestimates the variability of the dependent variable accounted for by the independent variables Because R² measures a less relevant type of model fit than adjusted R² Because R² always increases when variables are added to the model Because R² does not account for the possibility of the non-normal distribution of the dependent variable.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Transcribed Image Text:Why is Adjusted R² preferred to R² to assess the fit of a regression model?
Because R² substantially underestimates the variability of the dependent
variable accounted for by the independent variables
Because R² measures a less relevant type of model fit than adjusted R²
Because R² always increases when variables are added to the model
Because R² does not account for the possibility of the non-normal distribution
of the dependent variable.
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