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Correlations between variables, with linear regression lines, Pearson’s , and significance

By Andrea Caglieri (16404), Matteo Goldoni (16405), Olga Acampa (16406), Roberta Andreoli (16407), Maria Vittoria Vettori (16408), Massimo Corradi (16409), Pietro Apostoli (16410) and Antonio Mutti (16411)

Abstract

<p><b>Copyright information:</b></p><p>Taken from "The Effect of Inhaled Chromium on Different Exhaled Breath Condensate Biomarkers among Chrome-Plating Workers"</p><p>Environmental Health Perspectives 2005;114(4):542-546.</p><p>Published online 8 Dec 2005</p><p>PMCID:PMC1440778.</p><p>This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original DOI.</p> () Cr-U versus Cr-EBC ( = 0.25, < 0.05). () Cr-EBC versus HO-EBC ( = 0.54, < 0.01). () Cr-EBC versus MDA-EBC ( = 0.59, < 0.01). () HO-EBC versus MDA-EBC ( = 0.49, < 0.01). () Cr-U versus HO EBC ( = 0.41, < 0.01). () Cr-U versus MDA-EBC ( = 0.19, not significant)

Topics: Uncategorised, correlations, variables, linear, regression, pearsons, significance
Year: 2011
DOI identifier: 10.6084/m9.figshare.53718.v1
OAI identifier: oai:figshare.com:article/53718
Provided by: FigShare
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