How do I get this answer? Find the least-squares line y=\beta _(0) \beta _(1)x that best fits the data (-2,0),(-1,0),(0,2),(1,5), and (2,5), assuming that the first and last data points are less reliable. Weight them half as much as the three interior points.
The least-squares line is y=(33)/(14) (15)/(8)x.
(Simplify your answers.)