Relacionar Columnas RelationshipsVersión en línea Match the relationship with its definition. por Paul Alves - Fletchers Meadow SS (2492) 1 presumed relationship 2 common cause relationship 3 reverse cause and effect relationship accidental relationship presumed relationship 4 cause and effect relationship 5 experimental group 6 accidental relationship 7 hidden variables 8 control group 9 extraneous variables A correlation exists without any causal relationship between variables. Extraneous variables that are difficult to recognize. May invalidate conclusions drawn from statistical results. they receive the treatment being tested A change in X produces a change in Y. An external variable causes two variables to change the same way. Variables that affect either the dependent or the independent variable and are NOT predictable. A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship. they do not receive the treatment by the researchers and are used as to compare against the group that does receive the treatment The presumed dependent and independent variables are reversed in the process of determining causality. (Y causes X). A correlation exists without any causal relationship between variables. A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship.
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