logo
Ask Question

Asked by Rachel Weatherbee on May 16, 2024

verifed

Verified

In multiple regression analysis,the adjusted coefficient of determination is adjusted for the number of independent variables and the sample size.

Adjusted Coefficient

A modified version of a coefficient in statistical models that accounts for certain factors or variables to improve the model's accuracy or interpretability.

Independent Variables

Variables in an experiment or model that are manipulated to determine their effect on dependent variables.

Sample Size

The number of observations or data points collected in a study or experiment, critical for determining the study's statistical power and reliability.

  • Grasp the significance and calculation of the adjusted coefficient of determination.
verifed

Verified Answer

KC
Kathleen CorradoMay 17, 2024
Final Answer :
True
Explanation :
The adjusted coefficient of determination, also known as the adjusted R-squared, takes into account the number of independent variables in the model and adjusts the R-squared accordingly. It also adjusts for the sample size, which can affect the R-squared value. Therefore, the statement is true.

Related questions

The Adjusted Coefficient of Determination Is Adjusted for The ...

For a Multiple Regression Model the Following Statistics Are Given ...

The Following Information Regarding a Dependent Variable (Y) and an ...

A Regression and Correlation Analysis Resulted in the Following Information ...

The Coefficient of Determination Is the Percentage of Variance in ...