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, Using the method of least squares, the faculty group obtained the following prediction equation, Interpret the estimated slope of the line.
A) For a $1 increase in an administrator's raise, we estimate the administrator's rating to decrease 2,000 points.
B) For a 1-point increase in an administrator's rating, we estimate the administrator's raise to decrease $2,000.
C) For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $2,000.
D) For an administrator with a rating of 1.0, we estimate his/her raise to be $2,000.

Question

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,  Using the method of least squares, the faculty group obtained the following prediction equation,  Interpret the estimated slope of the line.
A) For a $1 increase in an administrator's raise, we estimate the administrator's rating to decrease 2,000 points. 
B) For a 1-point increase in an administrator's rating, we estimate the administrator's raise to decrease $2,000. 
C) For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $2,000. 
D) For an administrator with a rating of 1.0, we estimate his/her raise to be $2,000.

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The Answer of 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,  Using the method of least squares, the faculty group obtained the following prediction equation,  Interpret the estimated slope of the line.
A) For a $1 increase in an administrator's raise, we estimate the administrator's rating to decrease 2,000 points. 
B) For a 1-point increase in an administrator's rating, we estimate the administrator's raise to decrease $2,000. 
C) For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $2,000. 
D) For an administrator with a rating of 1.0, we estimate his/her raise to be $2,000.

Is There a Relationship Between the Raises Administrators at State