The correct answer is: B. the number of independent variables in the model.
The adjusted multiple coefficient of determination is a measure of how well a multiple regression model fits the data. It is calculated by dividing the multiple coefficient of determination by a number that adjusts for the number of independent variables in the model. This adjustment is necessary because the multiple coefficient of determination can be inflated by the number of independent variables in the model.
The adjusted multiple coefficient of determination is always less than or equal to the multiple coefficient of determination. This is because the adjustment factor always decreases the value of the multiple coefficient of determination.
The adjusted multiple coefficient of determination is a useful measure of model fit when there are a large number of independent variables in the model. It can be used to compare the fit of different models with different numbers of independent variables.
The other options are incorrect because:
- The adjusted multiple coefficient of determination does not account for the number of dependent variables in the model.
- The adjusted multiple coefficient of determination does not account for unusually large predictors.