This lesson defines correlation as the relationship between variables presented on a scatter plot. This is part of a series of lessons about topics related to scatter plots. It is 2 of 9 in the series titled "Correlation.' [3:31]

This lesson defines correlation as the relationship between variables presented on a scatter plot. This is part of a series of lessons about topics related to scatter plots. It is 3 of 9 in the series titled "Correlation." [2:04]

An explanation of scatter plots followed by examples of the many different kinds of scatter plots.

Psychology is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. The text also includes coverage of the DSM-5 in examinations of psychological disorders. Psychology incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe.Senior Contributing AuthorsRose M. Spielman, Formerly of Quinnipiac UniversityContributing AuthorsKathryn Dumper, Bainbridge State CollegeWilliam Jenkins, Mercer UniversityArlene Lacombe, Saint Joseph's UniversityMarilyn Lovett, Livingstone CollegeMarion Perlmutter, University of Michigan

By the end of this section, you will be able to:

Explain what a correlation coefficient tells us about the relationship between variables
Recognize that correlation does not indicate a cause-and-effect relationship between variables
Discuss our tendency to look for relationships between variables that do not really exist
Explain random sampling and assignment of participants into experimental and control groups
Discuss how experimenter or participant bias could affect the results of an experiment
Identify independent and dependent variables

Students are introduced to several types of common medical sensor devices, such as ear and forehead thermometers, glucometers and wrist blood pressure monitors; they use the latter to measure their blood pressure and pulse rates. Students also measure their heights and weights in order to calculate their BMIs (body mass index). Then they use the collected data to create and analyze scatterplots of the different variables to determine if any relationships exist between the measured variables. Discussions about the trends observed and possible health concerns conclude the activity.

In this tutorial, students learn how to interpret data through the use of a scatter plot.

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This tutorial takes you through the steps of creating a scatter plot, drawing a line-of-fit, and determining if there is any correlation. [1:56]

Learn about line-of-fit, negative slope, and negative correlation by watching this tutorial. [1:02]