# Two independent variables, and one dependent variable - how to analyse

One of my hypotheses is:

There is a significant difference in metabolical syndrome (dependent variable, quantitative, resultant range from 0 to 5) between patients and control group (one independent variable: 0 = patient id, 1 = control group) regarding to gender (independent variable, 0 = male, 1 = female).

Can someone please tell me which test in SPSS should I use to check that hypothesis? Should I use two way ANOVA or is chi-squared test sufficient?

My sample is N = 80.

If metabolic syndrome is an ordered categorical variable with six levels (0, 1, ..., 5) then a model for ordinal logistic regression would be better than purely doing $\chi^2$ which is responsive to any deviation whereas you want to know if the patient group have higher odds of having a worse metabolic syndrome profile. You can then add sex into your model as a covariate. I have no idea whether you can do this in SPSS but I imagine an online search for SPSS ordinal logistic regression will turn up something.