We use interaction term to report results. See;

The interaction between "IV" and "MOD" significantly negatively predicted "DV" (β = −0.38, p < 0.01). The figure shows the interaction between "IV" and "MOD" affecting "DV". It can be seen from the figure that the slope of the dotted line is larger, that is, employees with high "MOD" experienced a significant reduction in "DV" under "IV". That is to say, when the "IV" is less, employees with high "MOD" and low "MOD" experience a higher "DV"; when the "IV" is more, the "DV" experienced by employees with high "MOD" was significantly less than that of employees with low "MOD". Simple slope analysis showed that when the level of "MOD" was high, employees with "IV" will perceive less "DV" (β = −0.77 p < 0.001); and when the level of "MOD" was low, the influence of "IV" on the "DV" will be weakened (β = −0.31, p < 0.05). Therefore, hypothesis 3a is supported.

If both the independent and moderating variable are interval, then describing the nature of their interaction can be complex. Here is a well-known expert's discussion of this kind of interaction:

https://davidakenny.net/cm/moderation.htm#DD