Matching Pairs RelationshipsOnline version Match the relationship with its definition. by Paul Alves - Fletchers Meadow SS (2492) 1 cause and effect relationship 2 hidden variables 3 reverse cause and effect relationship accidental relationship presumed relationship 4 experimental group 5 extraneous variables 6 common cause relationship 7 accidental relationship 8 presumed relationship 9 control group they receive the treatment being tested Extraneous variables that are difficult to recognize. May invalidate conclusions drawn from statistical results. 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. 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. A correlation exists without any causal relationship between variables. Variables that affect either the dependent or the independent variable and are NOT predictable.
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