The standard error of the slope in simple linear regression is given by $SE(\beta_1) = \frac{s_e}{\sqrt{\sum (x_i - \bar{x})^2}}$. If the standard error of the estimate is $s_e = 3.0$, the sample standard deviation of $x$ is $s_x = 5.0$, and the sample size is $n = 101$, calculate the standard error of the slope.