The cause of an independent variable in an experiment is the factor that is intentionally manipulated or changed by the researcher to observe its effects. The result of this manipulation is measured through the dependent variable, which reflects any changes or outcomes that occur as a consequence of altering the independent variable. Essentially, the independent variable serves as the presumed cause, while the dependent variable represents the observed effect.
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