Linear Regression: Minimizing Loss

In the machine learning course section minimizing loss 4/13, when I play around with the slope and y-intercept, why are the plots green when they are below but red when above the line.

I looked online, and I noticed that any plot located below the slope is considered negative while anything above the slope is to be considered positive.

Do you mean that you think the colors are off or should be swapped?

Ex: Green = positive slope and Red = negative slope?

I mean, to me, that would make sense. Unless you’re referring to something else?
(Though, if someone has red-green colorblindness, the color choices aren’t really helpful.)