I understand that in a linear regression model like:
$y_i = b_0 + b_1 x_i + \epsilon_i$
I can have a null and an alternative hypothesis:
$H_0: b_1 = 0$ and $H_1: b_1 \neq 0$.
And then I can reject $H_0$ or fail to reject $H_0$. But what if I want to accept that $b_1 = 0$?