In multiple regression,the coefficient of multiple determination indicates the percentage of the variation in Y that can be explained by all independent variables.

Question

Quizplus · Accepted Answer

The coefficient of multiple determination, also known as R squared, represents the proportion of variability in the dependent variable that can be explained by the independent variables in the model. It is expressed as a percentage ranging from 0% to 100%, with higher values indicating a better fit of the model to the data. Therefore, statement A is true.

In Multiple Regression,the Coefficient of Multiple Determination Indicates the Percentage