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  2. One-to-one (data model) - Wikipedia

    en.wikipedia.org/wiki/One-to-one_(data_model)

    A country has only one capital city, and a capital city is the capital of only one country. (Not valid for some countries).. In systems analysis, a one-to-one relationship is a type of cardinality that refers to the relationship between two entities (see also entity–relationship model) A and B in which one element of A may only be linked to one element of B, and vice versa.

  3. Cardinality (data modeling) - Wikipedia

    en.wikipedia.org/wiki/Cardinality_(data_modeling)

    The entity–relationship model proposes a technique that produces entity–relationship diagrams (ERDs), which can be employed to capture information about data model entity types, relationships and cardinality. A Crow's foot shows a one-to-many relationship. Alternatively a single line represents a one-to-one relationship. [4]

  4. Entity–relationship model - Wikipedia

    en.wikipedia.org/wiki/Entity–relationship_model

    an arrow from an entity set to a relationship set indicates a key constraint, i.e. injectivity: each entity of the entity set can participate in at most one relationship in the relationship set; a thick line indicates both, i.e. bijectivity: each entity in the entity set is involved in exactly one relationship.

  5. One-to-many (data model) - Wikipedia

    en.wikipedia.org/wiki/One-to-many_(data_model)

    For example, take a car and an owner of the car. The car can only be owned by one owner at a time or not owned at all, and an owner could own zero, one, or multiple cars. One owner could have many cars, one-to-many. In a relational database, a one-to-many relationship exists when one record is related to many records of another table. A one-to ...

  6. Interaction (statistics) - Wikipedia

    en.wikipedia.org/wiki/Interaction_(statistics)

    Interaction effect of education and ideology on concern about sea level rise. In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the effect of one causal variable on an outcome depends on the state of a second causal variable (that is, when effects of the two causes are not additive).

  7. Predicted outcome value theory - Wikipedia

    en.wikipedia.org/wiki/Predicted_outcome_value_theory

    More recent research was designed to investigate positive and negative predictors of possible relationships by focusing on decisions to engage in future dates. Interpersonal attraction, homophily, and nonverbal immediacy have been linked to the predicted outcome value of relationships during initial encounters. This study investigates how these ...

  8. 7 Signs You’re in a One-Sided Relationship, According to ...

    www.aol.com/7-signs-one-sided-relationship...

    Couple in a one-sided relationship having an argument. Romantic relationships traditionally involve two people—and two is a keyword. "Healthy relationships typically include a fairly equal give ...

  9. Spurious relationship - Wikipedia

    en.wikipedia.org/wiki/Spurious_relationship

    Graphical model: Whereas a mediator is a factor in the causal chain (top), a confounder is a spurious factor incorrectly implying causation (bottom). In statistics, a spurious relationship or spurious correlation [1] [2] is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third ...