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Is There a Relationship Between the Raises Administrators at State

Question 30

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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, 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 y-intercept of the line. A)  The base administrator raise at State University is $14,000. B)  For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $14,000. C)  There is no practical interpretation, since rating of 0 is nonsensical and outside the range of the sample data. D)  For an administrator who receives a rating of zero, we estimate his or her raise to be $14,000. Using the method of least squares, the faculty group obtained the following prediction equation, 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 y-intercept of the line. A)  The base administrator raise at State University is $14,000. B)  For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $14,000. C)  There is no practical interpretation, since rating of 0 is nonsensical and outside the range of the sample data. D)  For an administrator who receives a rating of zero, we estimate his or her raise to be $14,000. Interpret the estimated y-intercept of the line.


A) The base administrator raise at State University is $14,000.
B) For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $14,000.
C) There is no practical interpretation, since rating of 0 is nonsensical and outside the range of the sample data.
D) For an administrator who receives a rating of zero, we estimate his or her raise to be $14,000.

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