In a simple linear regression model $\hat{y} = \beta_0 + \beta_1 x$, the independent variable is dummy-coded such that $x = 0$ represents the control group and $x = 1$ represents the treatment group. What is the interpretation of the slope coefficient $\beta_1$ in this model?