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