Answer:
1) The independent variable is nicotine consumption.
2) The dependent variable is 'Involvement in a collision'. In this case the values the variable could take would be binary. For example 'were involved in a collision' and 'weren't involved in a collision'.
3) In this study, the participants who smoke a cigarette without nicotine comprise the __control___________________ group.
4.) In this study, the participants who smoke a real cigarette (with nicotine) comprise the ___experimental___________________ group.
5.) A confounding variable related to this experiment could be:
Confounding variables are any other variable that also has an effect on your dependent variable. They are like extra independent variables that are having a hidden effect on your dependent variables.
In this case, there are many examples of confounding variables that could have an effect on the dependent variable:
For example:
Subject's eyesight
Subject's age
Subjects's driving experience,
and so on