Scientists cannot pinpoint the changes or variations in the results to a single source when more than one variable is altered during an experiment. The outcomes can be attributed to the independent variable directly by examining and modifying each variable separately.
You can evaluate the outcomes of your experiment to determine how much one adjustment impacted the outcome by testing just one variable at a time. You won't be able to identify the variable that caused the outcome if you're testing two variables simultaneously. A controlled variable is one that is kept constant with the goal of not affecting how an experiment turns out. Controlling any factors that can affect an experiment's outcomes allows us to be certain that the altered variable is what caused our results.
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