# How to interpret estimation (regression, discrete choice ) result?

In a discrete choice model setting, lets say my model function is $U(x)= \beta_0+\beta_1X_1+\beta_2X_2+\beta_3X_3+\beta_4X4+\epsilon$

with independent variable $X_1$ has a value ranges from -2.5 to 2.5 $X_2$ is always positive $X_3$ is always negative and $X_4$ is binary dummy

In this case How can I interpret sign of variable