Attenuation bias from classical measurement error

If $Y=\beta Z+\epsilon$ but the predictor is observed as $X=Z+\eta$, with independent centred errors, the population regression slope isMeasurement error in the predictor therefore shrinks the slope toward zero, while independent response noise changes its uncertainty but not its population value.