A new independent variable is added to a regression model, but the model's predictive ability remains unchanged. What does this indicate? The model now suffers from bias in its error estimates. The other predictors in the model are more relevant than the new variable. The model has become more robust against variability. The new variable is an essential predictor of the outcome. The new variable increases the overall goodness-of-fit measure