Apply this model-comparison rule: reject a clear systematic residual pattern when the other model has random scatter; otherwise use smaller \(MAE\), then smaller \(|\text{mean}~\text{residual}|\). For \(A={-1,0,1,-1}\) and \(B={-5,3,4,-2}\), with neither pattern declared systematic, which complete response correctly applies the model-comparison rule?
Compare residual models with the stated priorities rather than one convenient statistic. Address systematic pattern first, then use mean absolute error for typical miss size; a signed mean near zero can result from positive and negative errors canceling, so it cannot replace the magnitude comparison.
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