Given a jittered scatter plot used to visualize overlapping data points, if the original data points are $(x_i, y_i)$ and the jitter adds a random variable $\epsilon \sim U(-\delta, \delta)$, what happens to the slope of the least-squares regression line $m$ as $\delta \to \infty$?