-
@johnjhorton @wytham88 I’m going to go out on a limb and say \hat{\beta} is positive. (Don’t @ me ... I included an intercept.) And its magnitude is just picking up something about relative dispersions of y and x?Permalink On twitter.com
♻️ 4 Retweets
❤️ 5 Favorites
Mood +2 🙂
-
@johnjhorton @wytham88 Special case of y and x are both normal, I’m guessing expected value of \hat{\beta} depends only on \sigma_y and \sigma_x, incereasing in former and decreasing in latter. (“Proof left as an exercise to the reader.”)On twitter.com
♻️ 4 Retweets
❤️ 5 Favorites
Mood 0