Consider the simple linear regression model $Y = \beta_0 + \beta_1 X + \epsilon$. If we transform the predictor $X$ to $X^* = aX + b$ ($a > 0$), how does the new slope $\beta_1^*$ compare to the original slope $\beta_1$?