Answer: parallel
Step-by-step explanation:
If the lines are parallel, it indicates that the effect of one independent variable does not depend on the levels of the other independent variable. In contrast, non-parallel lines suggest an interaction effect, where the impact of one variable changes across different levels of the other variable. So, in summary, parallel lines indicate no interaction, while non-parallel lines signal an interaction effect.