What is the difference between relation and correlation?

Definitions

- Describing a connection or association between two or more things. - Referring to the way in which two or more people or things are connected or related to each other. - Talking about the way in which one thing affects or influences another.

- Describing a statistical relationship between two or more variables. - Referring to the degree to which two or more things are related or connected. - Talking about the way in which changes in one variable are associated with changes in another variable.

List of Similarities

  • 1Both words describe a connection or relationship between two or more things.
  • 2Both words can be used to describe cause-and-effect relationships.
  • 3Both words can be used in scientific or academic contexts.

What is the difference?

  • 1Usage: Relation is a more general term that can be used in a variety of contexts, while correlation is more specific and is typically used in scientific or statistical contexts.
  • 2Type of relationship: Relation can refer to any type of relationship or connection, while correlation specifically refers to a statistical relationship between two or more variables.
  • 3Degree of relationship: Correlation implies a stronger relationship than relation, as it specifically refers to a statistical relationship with a quantifiable degree of association.
  • 4Direction of relationship: Relation does not imply a direction of relationship, while correlation can be positive (both variables increase or decrease together) or negative (one variable increases while the other decreases).
  • 5Causality: Relation does not necessarily imply causality, while correlation can suggest a cause-and-effect relationship, but does not prove it.
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Remember this!

Relation and correlation both describe a connection or relationship between two or more things. However, relation is a more general term that can be used in a variety of contexts, while correlation specifically refers to a statistical relationship between two or more variables. Additionally, correlation implies a stronger relationship than relation, as it specifically refers to a statistical relationship with a quantifiable degree of association.

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