# Interpreting interaction effect between two dummy variables

I would like to double-check with you guys whether i am interpreting my results correctly, before I move on with my analysis. I have read several other questions on this topic but non seemed to apply enough.

I am investigating whether having a reservation in a restaurant (significantly) results in more spending per person. I have included several (dummy) variables in my regression analysis, as well as some continuous. I have included interaction effects between having a reservation and the other variables too, as reservations are my main interest.

dummy variables of interest for this question: "Reservation " --> Walk-in = 0, Reservation = 1 "Dinner" --> Lunch = 0, Dinner = 1

As you can see from my results, the interaction effect between having a reservation and eating dinner is significant, but having a reservation on its own is not. Is it correct if I interpret this as:

"Having a reservation only has significant influence on spending if the reservation is made for dinner (and thus not for lunch)."

Thanks!

• Relevant: What is effect coding? – Alexis Mar 15 '18 at 3:57
• In your syntax the dependent variable is called Log. Is your outcome a log-transformed variable? – Jay Schyler Raadt Oct 5 '18 at 22:04