Forgive me if this is a bad question, but I'm a newbie who get's confused with terminology frequently.
I am seeking to plan an experiment based on a few factors:
-continuous response variable (heart rate) -treatment (a drug - 3 levels) -sleep (survey) -mental state (survey)
What type of model should I be focusing on? Since I'm not controlling the factors from the surveys does that make this a multivariate design? If I choose to categorize the survey data into levels, is that what makes the model a simple multiple regression?
Should I be adding some other factors such as gender or sex? I noticed that is common practice. Does that have to do with block design?