In understanding "controlling for" a third variable, which of the following is a similar concept? a. Conducting a replication b. Creating a longitudinal study c. Creating an operational definition d. Identifying subgroups

D) Identifying Subgroups

Explanation:

In data Analytics, a third variable also known as a confounding variable, is a variable that "sits in-between", it has influence on both the independent variable and dependent variable. If this "third variable" is not properly handled, the result of the anlysis will yeild incorrect values. identifying subgroups in a dataset is important for undertanding it