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Bivariate Data – S6

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  • About
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About the lecture

In this mini-lecture, we introduce Topic S6 with a discussion of bivariate data in scatter plots and correlation. As we move throughout this mini-lecture, we think about: (i) measuring two continuous variables, called bivariate data, on the same set of individuals; (ii) using scatter graphs to inspect the relationship between bivariate data; (iii) correlation, the measurement of how much a pair of variables are linearly related, which is measured with a number between -1 and 1; (iv) positive, zero, and negative correlation; (v) examples of different types of positive and negative correlation; and (vi) how correlation does not necessarily imply causation.

About the lecturer

Craig Anderson is a Senior Lecturer in Statistics at the University of Glasgow. His research interests lie in developing statistical methodology for health data, with a focus on health inequalities both in Scotland and globally. He is particularly interested in spatial statistics and the development of methodology for disease mapping, and also works on growth modelling, specifically identifying and developing suitable modelling strategies to accurately capture the growth trajectories of young children in low and middle income countries. Dr Anderson has a strong passion for outreach and statistics communication. He enjoys working with schools and the general public to improve understanding of the subject. He has written articles for non-academic media outlets such as The Conversation, and has appeared on local and national radio to talk about this work several times.

Cite this Lecture

APA style

Anderson, C. (2023, May 26). Statistics - Bivariate Data – S6 [Video]. MASSOLIT. https://massolit.io/options/statistics-99edbda2-9aee-4ff5-98e1-b5bc7639dec5?auth=0&lesson=14796&option=16920&type=lesson

MLA style

Anderson, C. "Statistics – Bivariate Data – S6." MASSOLIT, uploaded by MASSOLIT, 26 May 2023, https://massolit.io/options/statistics-99edbda2-9aee-4ff5-98e1-b5bc7639dec5?auth=0&lesson=14796&option=16920&type=lesson