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. 2019 Oct 21;9:15046. doi: 10.1038/s41598-019-50992-6

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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The graph shows the correlation between the age and the median error. For all subjects the correlation of r = 0.167 was significant (p = 0.047). For the two subgroups from Bern (red) and Munich (yellow) the correlation between age and median estimation error were roughly the same (r_Bern = 0.219; r_Munich = 0.183) but they did not reach the significance level of 0.05 (p_Bern = 0.060; p_Munich = 0.136).