I apologize in advance if this possibly is a stupid question but I am feeling very insecure about my statistic skills so I hope someone can help with these basic questions. Also I apologize for my English (not my native tongue).
One of my hypotheses is that Variable A and B predict Variable C, so I want to perfom regression analyses. My questions for this example:
1) Should I perform two separate simple linear regressions or a multiple regression with both A and B as predictors? What is the difference? (A and B do not correlate with each other).
Correlations accordingly are also not significant. If I already now this, does it still make sense to do regression analyses? Besides linear regression, would another type of regression model be better to use? What should I report in my paper in that case?
I am also open to any other ideas. Like I said, sorry for these basic questions. I'd be very happy to get some answers. Thank you in advance!