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