For a simple one attribute linear regression scenario, where the prediction for variable y is:

What is the geometric interpretation of error?

a) None of the above

b) Horizontal distance between prediction or regression line and actual data point.

c) Perpendicular distance between prediction or regression line and actual data point.

d) Vertical distance between prediction or regression line and actual data point.

y=w0+w1x