Hello there,

I am facing a problem to understand something, in the first optional lab of week 3 it says that linear regression fails to correctly classify points and thus comes the need for logistic regression.

In the second lab I cannot understand what the orange line means, it seems its the original linear regression model, however, it correctly classifies the points even after adding the point at x = 10

the notes say: βNote, the orange line is βπ§β or π°β π±(π)+π above. It does not match the line in a linear regression model.β but i cannot get what this means.

thanks in advance