So, I have this regression that expresses the relationship between the compensation of the senior executives of a firm and the revenues of the same:
The regression displays the following coefficient estimates: $\beta_0=-12,651$ and $\beta_1=699$.
Will you please tell me how should I interpret these two number? How much change is observed in my dependent variable in levels if the independent variable in logarithmic form increases by 1%? And what about the intercept?
It's the first time I am working with a level-log model and I got a bit confused here.
Will you please share your opinion?
