# why do we want the regression with smaller slope?

The question is

If you are forced to choose between red and green (they have the same training error) which one would you choose?

And I have the answer as below,

Green! Beacuse The slope is smaller, so predictions are less sensitive to having ‘w’ exactly right.

Though, I can not understand why do we want the smaller slope!

I would appreciate if somebody explain it.

For example, suppose you need to choose one of the following estimations for your given data: $$Y_1=2X+1$$, $$Y_2=0.5X+1$$, having the same MSE. Then, variances of these predictions are $$\text{var}(Y_1)=4\text{var}(X)$$, and $$\text{var}(Y_2)=0.25\text{var}(X)$$. The latter has substantially lower variance compared to the former.