학술논문

Lollipops Help Align Visual and Statistical Fit Estimates in Scatterplots With Nonlinear Models
Document Type
Periodical
Source
IEEE Transactions on Visualization and Computer Graphics IEEE Trans. Visual. Comput. Graphics Visualization and Computer Graphics, IEEE Transactions on. 29(7):3436-3440 Jul, 2023
Subject
Computing and Processing
Bioengineering
Signal Processing and Analysis
Data models
Estimation
Computational modeling
Visualization
Data visualization
Psychology
Task analysis
Information visualization
perception and psychophysics
theory and models
Language
ISSN
1077-2626
1941-0506
2160-9306
Abstract
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/).