Respuesta :
True
A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. They can suggest there is correlation when in fact there isn’t. They can even introduce bias. That’s why it’s important to know what one is, and how to avoid getting them into your experiment in the first place.
Answer:
True
Explanation:
Confounding variables like extra independent variables that are having a hidden bad effect on your dependent variables.