What is it about?
We tend to underestimate the level of correlation (relatedness) present in scatterplots. Here, we change the opacities of some of the points using a function relating to their distance from the regression line. We test the use of these functions in an online experiment, and find that their use makes people significantly more accurate in estimating correlation from scatterplots, although this effect is not as pronounced as for size (see later paper).
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Why is it important?
Scatterplots are often used to inform decision making and communicate science to the public. They are commonly utilised data-driven policy-making, including in healthcare. Nevertheless, people's perceptions of correlation from scatterplots are inaccurate. We thus attempt to correct for the bias in the present work.
Read the Original
This page is a summary of: The Effects of Contrast on Correlation Perception in Scatterplots, International Journal of Human-Computer Studies, August 2023, Elsevier,
DOI: 10.1016/j.ijhcs.2023.103040.
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