I expect predictor A to negatively predict my dependent variable, and predictor B to positively predict the dependent variable. Can I include both predictors in a (linear) multiple regression model even though the variables are associated to the dependend variable in different "directions"?

Thank you in advance and apologies for my English.


Less is more. Stay pure. Stay poor.
Yes, you can do this and it is done all of the time.

A follow up question would be on whether the two variables are independent of each other? If so, proceed like normal. If not, you will need to understand if they may mediate or suppress each other's effects, etc.