Matching Pairs RelationshipsOnline version Match the relationship with its definition. by Paul Alves - Fletchers Meadow SS (2492) 1 common cause relationship 2 accidental relationship 3 cause and effect relationship 4 reverse cause and effect relationship accidental relationship presumed relationship 5 extraneous variables 6 hidden variables 7 experimental group 8 control group 9 presumed relationship 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 An external variable causes two variables to change the same way. Extraneous variables that are difficult to recognize. May invalidate conclusions drawn from statistical results. they receive the treatment being tested 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.
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