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|a eng
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|a Reimann, Daniel
|e verfasserin
|4 aut
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| 245 |
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|a Lollipops Help Align Visual and Statistical Fit Estimates in Scatterplots With Nonlinear Models
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|c 2023
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|a ƒaComputermedien
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|a Date Completed 28.05.2023
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|a Date Revised 28.05.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Scatterplots overlayed with a nonlinear model enable visual estimation of model-data fit. Although statistical fit is calculated using vertical distances, viewers' subjective fit is often based on shortest distances. Our results suggest that adding vertical lines ("lollipops") supports more accurate fit estimation in the steep area of model curves (https://osf.io/fybx5/)
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|a Ram, Nilam
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|a Gaschler, Robert
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|t IEEE transactions on visualization and computer graphics
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|g 29(2023), 7 vom: 09. Juli, Seite 3436-3440
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