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