Answer: In an experiment, both the independent variable and the dependent variable play crucial roles, but they have different impacts.
The independent variable is the variable that is manipulated or controlled by the experimenter. It is intentionally changed or varied to observe its effect on the dependent variable. The independent variable is typically seen as having a greater influence on the experiment because it is intentionally altered to determine the cause or influence of the observed changes.
On the other hand, the dependent variable is the variable that is measured or observed to determine the outcome or response in relation to the independent variable. It is considered the outcome or the result of the changes made to the independent variable. While the dependent variable is influenced by the independent variable, its changes are typically a consequence of the alterations made to the independent variable.
In summary, the independent variable is typically seen as having a more direct and significant effect on the experiment because it is intentionally manipulated to observe its impact on the dependent variable. The dependent variable, while influenced by the independent variable, is more of a response or outcome that is measured or observed as a result of the changes made to the independent variable.