Visual Model Fit Estimation in Scatterplots: Influence of Amount and Decentering of Noise

Daniel Reimann, Christine Blech, Nilám Ram, Robert Gaschler · IEEE Transactions on Visualization and Computer Graphics · 2021

Scatterplots with a model enable visual estimation of model-data fit. In Experiment 1 (N = 62) we quantified the influence of noise-level on subjective misfit and found a negatively accelerated relationship. Experiment 2 showed that decentering of noise only mildly reduced fit ratings. The results have consequences for model-evaluation.

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