 Linear regression through the origin

In the model $Y_i=\beta x_i+{\epsilon }_i$ without an intercept, with ${\sum }_i{x}_i^2>0$, the ordinary least-squares estimator isFor independent errors of common variance ${\sigma }^2$, it is unbiased and has variance ${\sigma }^2/{\sum }_i{x}_i^2$.