Consider the linear regression model Y; = Bo + B1 X; + U; for each i = 1, ..., n. Suppose we estimate Bo and B1 by running an OLS regression. What does the OLS predicted value Y; represent? O a. Ý; = Bon + Bi,Xi, Bon and B. 17 are the OLS estimates where O b. Y; is the predicted value of Y; when X; = 0 O c. Y; is the square root of the intercept O d. Y; is the difference between Y; and the OLS predicted value of Y

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Consider the linear regression model Y; = Bo + B1 X; + U; for each i = 1, ..., n. Suppose we estimate Bo and B1 by running an OLS
regression. What does the OLS predicted value Y; represent?
O a. Ý; = Bon + Bi,Xi,
Bon and B.
17 are the OLS estimates
where
O b. Y; is the predicted value of Y; when X; = 0
O c. Y; is the square root of the intercept
O d. Y; is the difference between Y; and the OLS predicted value of Y
Transcribed Image Text:Consider the linear regression model Y; = Bo + B1 X; + U; for each i = 1, ..., n. Suppose we estimate Bo and B1 by running an OLS regression. What does the OLS predicted value Y; represent? O a. Ý; = Bon + Bi,Xi, Bon and B. 17 are the OLS estimates where O b. Y; is the predicted value of Y; when X; = 0 O c. Y; is the square root of the intercept O d. Y; is the difference between Y; and the OLS predicted value of Y
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