issue in model selection


I am working on a data that has a binary dependent variables and four predictors, 3 of them are numeric and 1 is in binary. I already performed monofactorial test for every single predictor but confused with multifactorial interaction.
I am struggling in model selection that which predictors should I use in interaction? or Can I simply use the backward selection model if I have 3 numeric Independent variable and 1 binary independent variable?

Thanks in advance

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