Why is it important to change only the independent variable?

Changing only the independent variable is crucial because it allows researchers to establish a clear cause-and-effect relationship between that variable and the dependent variable. By isolating the independent variable, any changes observed in the dependent variable can be attributed directly to it, minimizing the influence of confounding factors. This controlled approach enhances the reliability and validity of the experiment's results, leading to more accurate conclusions.