I have an assignment that gives a dataset and a choice of 3 tests: Step-wise Multiple Regression, ANCOVA and Log-Linear Analysis.
The dataset consists of
Blood Pressure measurements as the dependent variable (DV), and
Smoking (True/False) as the independent variable (IV) with confounders being
Gender. My hypothesis is that smoking increases blood pressure but being a man or being older would make blood pressure increase too.
I have ruled out Log-Linear Analysis, but I am getting confused which of the other tests would be more appropriate. If it was just
Age as a confounder I would do ANCOVA as it is a continuous covariate but I'm not sure what to do with
Gender as it's categorical. As I understand it, ANCOVA and Multiple Regression are identical mathematically so the distinction and implementation is making me completely lost!
Would greatly appreciate if anyone could help me clear this up? Thank you