It implys causatiion.
https://www.cambridge.org/gb/academic/subjects/life-sciences/ecology-and-conservation/cause-and-correlation-biology-users-guide-path-analysis-structural-equations-and-causal-inference-r-2nd-edition?format=PB
Either
1. It's a statistical artifact (which should not be the case if statisical tests are applied)
2 There is a spurious relationship. A third factor is controling both factors (should not be the case if a proper controls are included in design e,g. in a multi-variate regression model.
3. There is a indirect relationship. Which means that a third variable sits between to the two others in the system and that variance in the control variable influences the intermediate variable which in turn influences the output varible. (in effect this is just the same as a direct relationship)
4, A direct relationship.
Good too see you recognising the limits of the scientific method