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Related Concept Videos

Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
Coefficient of Correlation01:12

Coefficient of Correlation

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
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Pedigree Analysis01:35

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Correlation and Regression00:53

Correlation and Regression

In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a negative...

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Related Experiment Video

Updated: May 26, 2026

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Parent-offspring correlations in pedometer-assessed physical activity.

David Jacobi1, Agnès Caille, Jean-Michel Borys

  • 1Service de Médecine Interne-Nutrition, Centre Hospitalier Régional Universitaire (CHRU) de Tours, Tours, France.

Plos One
|January 5, 2012
PubMed
Summary

Physical activity levels show familial correlations, particularly between siblings and mothers and their children. These mother-offspring activity links persist throughout adolescence, suggesting a significant maternal influence on children's activity.

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Area of Science:

  • Public Health
  • Pediatrics
  • Behavioral Science

Background:

  • Physical activity is crucial for healthy lifestyles in youth and adults.
  • Identifying determinants of physical activity is key for intervention design.
  • Familial influences on physical activity are documented, but parent-offspring relationships lack objective data across development.

Purpose of the Study:

  • To assess familial correlations in objectively measured physical activity.
  • To investigate parent-offspring and sibling physical activity relationships.

Main Methods:

  • Measured ambulatory activity in 286 French nuclear families using pedometers over one week.
  • Included 631 children aged 8-18 years, their mothers, and fathers.
  • Computed correlations for spouse pairs, siblings, and parent-offspring, analyzing weekdays and weekends.

Main Results:

  • Sibling correlations were highest (r=0.28).
  • Mother-offspring correlations were significant (r=0.21), especially with daughters, and persisted through adolescence.
  • Father-offspring correlations were minimal; spouse correlations were significant only on weekends.

Conclusions:

  • Physical activity is correlated within families, with a notable mother effect.
  • Mother-offspring physical activity correlations remain significant from childhood to adolescence.
  • Further research is needed to explore shared activities, parental modeling, support, and genetics in familial physical activity aggregation.