The correct answer is A. larger residual terms.
Residual terms are the differences between the actual values and the predicted values in a regression model. A larger residual term indicates that the model is not a good fit for the data.
Option B is incorrect because zero residual terms would indicate that the model is a perfect fit for the data, which is not possible.
Option C is incorrect because variable residual terms do not necessarily indicate a poor fit. In fact, some amount of variability in the residual terms is expected, as no model can perfectly predict all data points.
Option D is incorrect because smaller residual terms indicate a better fit, not a worse fit.