A faculty group wants to determine whether job rating (x) is a useful linear predictor of raise left parenthesis y right parenthesis . Consequently, the group considered the straight-line regression model E(y)equalsbeta 0plusbeta 1x. Using the method of least squares, the faculty group obtained the following prediction equation. Interpret the estimated y-intercept of the line. y with caret=14,000-2,000x.
A. For an administrator who receives a rating of zero, we estimate his or her raise to be $14,000.
B. For a 1-point increase in an administrator's rating, we estimate the administrator's raise to increase $14,000.
C. The base administrator raise at State University is $14,000.
D. There is no practical interpretation, since rating of 0 is nonsensical and outside the range of the sample data.
We have given regression equation is,
y intercept = 14,000
Option A) is correct.
A. For an administrator who receives a rating of zero, we estimate his or her raise to be $14,000.
A faculty group wants to determine whether job rating (x) is a useful linear predictor of...
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