Dear colleagues, (especially those who are in love with statistics)

I tried to study the influence of a dichotomus independent variable (X) on a continuous dependant one (Y) {e.g.lets say the influence of sex on the body content of a heavy metal}. To do so I first; conducted T test and found a significant difference in Y between the categories of X, second; I used stepwise multiple linear regression analysis with X and some other factors as independent variables and Y as dependant one and the result was insignificant influence for X on Y.

My questions are:

1. Which result should I go with, T-test's result or that of the regression?

2. What about vise versa (if the regression result was significant and that of T-test wasn't), which result should I depend on?

I will appreciate every single contribution. Thank you in advance.

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