Lollipops Help Align Visual and Statistical Fit Estimates in Scatterplots With Nonlinear Models

Daniel Reimann; Nilam Ram; Robert Gaschler

doi:10.1109/TVCG.2022.3158093

Lollipops Help Align Visual and Statistical Fit Estimates in Scatterplots With Nonlinear Models

Daniel Reimann, Nilam Ram, Robert Gaschler

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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/).

Original language	English (US)
Pages (from-to)	3436-3440
Number of pages	5
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	29
Issue number	7
DOIs	https://doi.org/10.1109/TVCG.2022.3158093
State	Published - Jul 1 2023

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

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10.1109/TVCG.2022.3158093

Cite this

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title = "Lollipops Help Align Visual and Statistical Fit Estimates in Scatterplots With Nonlinear Models",

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/).",

author = "Daniel Reimann and Nilam Ram and Robert Gaschler",

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AU - Ram, Nilam

AU - Gaschler, Robert

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Y1 - 2023/7/1

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AB - 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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Lollipops Help Align Visual and Statistical Fit Estimates in Scatterplots With Nonlinear Models

Abstract

All Science Journal Classification (ASJC) codes

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