Consider a simple linear regression $Y = \beta_0 + \beta_1 X + \epsilon$ with $n=25$ observations. If the residual standard error is $s_e = 4.0$ and the sum of squared deviations of $X$ is $\sum (X_i - \bar{X})^2 = 160$, what is the standard error of the slope estimator $SE(\hat{\beta}_1)$?