Respuesta :
The answer would be B because since the scientist is only testing the variables one at a time they won't confuse it with other data. If they were testing more than one at a time the data could be mixed up and the data would end up being wrong. I hope this helps!
The main reason that it's important to test only one variable at a time is so that: scientists can easily tell which variable caused the results.