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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

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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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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