The larger the value of R² in linear regression implies the A) better the explanatory power of the model B) greater the F statistic C) smaller the p-value D) none of the above

Question

Quizplus · Accepted Answer

R² is the R-squared value, which describes the proportion of variance in the dependent variable that is explained by the independent variables in a linear regression model. Therefore, a larger value of R² indicates that there is a better fit of the model and higher explanatory power.

The Larger the Value of R2 in Linear Regression Implies

The Larger the Value of R² in Linear Regression Implies