Is there a relationship between the raises administrators at State University receive and their performance on the job? A faculty group wants to determine whether job rating (x) is a useful linear predictor of raise (y). Consequently, the group considered the straight-line regression model, (y) hat = (b) with subscript (1)x+ (b) with subscript (0). Using the method of least-squares regression, the faculty group obtained the following prediction equation, (y) hat=2,000x+ 14,000. Interpret the estimated y-intercept of the line.

A)There is no practical interpretation, since rating of 0 is not likely and outside the range of the sample data.

B)For an administrator who receives a rating of zero, we estimate his or her raise to be $14,000.

C) The base administrator raise at State University is $14,000.

D) For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $14,000.