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 E(y)=0+1x. Using the method of least squares, the faculty group obtained the following prediction equation: y^=14,0002,000x Interpret the estimated slope of the line. For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $2,000. For a 1-point increase in an administrator's rating, we estimate the administrator's raise to decrease $2,000. For an administrator with a rating of 1.0, we estimate his/her raise to be $2,000. For a $1 increase in an administrator's raise, we estimate the administrator's rating to decrease 2,000 points