Correct Interpretation for One-tailed Hypothesis with Inverse Result I am currently doing a research and have this hypothesis for a variable:
HA: "Variable A has a significant positive influence on Variable B"
However, the result was actually negative and statistically significant at 1%. So just want to confirm whether I can safely say that the result is actually significant but the sign is the opposite from the hypothesis, so we can reject H0? Thanks!

If you have any interest in saying anything but "we fail to reject $H_0$" when the relationship is in the opposite direction to the one you predicted, you should not have been using a one-tailed test.
You don't get to change your mind about what cases count as rejection after you see the outcome; that's p-hacking. In effect you misrepresent (to put it nicely) your true significance level when you work this way.
Consider the gamut of possible outcomes (and your desired actions in those cases) before you conduct your test, not after. Indeed, it should come before you collect data.
