Andrew Ng is explaining linear regression and the cost function, and why we want to minimize Theta(1).
However, he says that when Theta(1) = 1 then our slope of the line is (x,y) = (1,1), (2,2), (3,3).
I don't understand how he computes that slope? I don't understand how to figure this out? How do you know that the slope of the line is that?
For example, what happens when Theta(1) = 2, how would i figure out the slope?
For more detail, you can see: https://class.coursera.org/ml-2012-002/lecture/index, at 2:30 he mentions that if Theta(1) = 1, then the slope of the line is: (1,1), (2,2), (3,3), or http://cl.ly/image/1J1n2E151k2n