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Correlation: Lesson 7
Read the Fine Print
Educational Use
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This lesson will introduce correlation and correlation coefficient. It is 7 of 9 in the series titled "Correlation." [9:59]

Subject:
Mathematics
Material Type:
Audio/Video
Provider:
Sophia Learning
Date Added:
12/01/2023
Correlation: Lesson 8
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Educational Use
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This lesson will introduce correlation and correlation coefficient. It is 8 of 9 in the series titled "Correlation." [9:52]

Subject:
Mathematics
Material Type:
Audio/Video
Provider:
Sophia Learning
Date Added:
12/01/2023
Describing Bivariate Data (Two Quantitative Variables)
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Educational Use
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Students explore the relationship between two quantitative variables in bivariate data using various x-y plots. They compare the relationships for several categories on the same plot. Students calculate the correlation coefficient to measure the strength and direction of the linear relationship that might exist between two variables.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
Texas Instruments
Date Added:
08/07/2023
Illuminations: Linear Regression 1
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Educational Use
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An interactive program where students will explore regression lines. Students will be introduced to the correlation coefficient and come to understand what it represents through the given exploration. Requires Java.

Subject:
Mathematics
Material Type:
Interactive
Provider:
National Council of Teachers of Mathematics
Provider Set:
Illuminations
Date Added:
04/12/2021
Psychology
Unrestricted Use
CC BY
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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

Subject:
Psychology
Material Type:
Full Course
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
02/14/2014
Psychology, Psychological Research, Analyzing Findings
Unrestricted Use
CC BY
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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

Material Type:
Module
Date Added:
09/20/2018