I'mI'm trying to make an analysis of increase in sales vs promotion (kinda correlation). And want to see the results segregated by Males and Females. I can segreate data by males and females, find correlation independently and then can compare. But I want to know if there is any standard way to test this at a single test.
As I understand, you want to check, whether promotion can be predicted by some continuous variable, while additionally accounting for gender for any possible differences. This sounds like a task for (multinomial) logistic regression, depending on whether your promotion variable is binary or has multiple outcomes.
You can use your continuous variable and gender as your predictors, perhaps adding an interaction term.
I have successfully used the Mini-tab's General Regression Model. In newer versions, it is just Regression Analysis' Linear Fit Model. I can add both categorical and numerical variables here. The result equation came individually for each categorical variable like
a. Regression line for Male b. Regression line for Female
For noobs like me, best article I found to decide which test you wanna run is here