Answer:-
The difference between independent and dependent variables lies in their roles in an experiment. The independent variable is the one you change or control to test its effects—it's the cause. The dependent variable is what you measure; it's the effect or outcome that depends on the changes made to the independent variable. For example, if you're testing how water affects plant growth, the amount of water is the independent variable, and the plant’s growth is the dependent variable. Basically, you tweak the independent variable to see how it influences the dependent variable, helping you understand cause-and-effect relationships.
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