The OLS estimator is derived by A. making sure that the standard error of the regression equals the standard error of the coefficient estimator. B. minimizing the sum of squared regression. C. minimizing the sum of squared error. D. connecting the Y; corresponding to the lowest X; observation with the Y; corresponding to the highest X; observation. Decat Celoction O O
The OLS estimator is derived by A. making sure that the standard error of the regression equals the standard error of the coefficient estimator. B. minimizing the sum of squared regression. C. minimizing the sum of squared error. D. connecting the Y; corresponding to the lowest X; observation with the Y; corresponding to the highest X; observation. Decat Celoction O O
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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![The OLS estimator is derived by
A. making sure that the standard error of the regression equals the standard error of the coefficient estimator.
B. minimizing the sum of squared regression.
C. minimizing the sum of squared error.
D. connecting the Y; corresponding to the lowest X; observation with the Y; corresponding to the highest X; observation.
Decat Celoction
O O](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F70b4370d-f8f6-4707-9926-836e60fa03e8%2Fc9c07268-8b56-4293-97e7-edb8579680d0%2Fg63nj0l_processed.png&w=3840&q=75)
Transcribed Image Text:The OLS estimator is derived by
A. making sure that the standard error of the regression equals the standard error of the coefficient estimator.
B. minimizing the sum of squared regression.
C. minimizing the sum of squared error.
D. connecting the Y; corresponding to the lowest X; observation with the Y; corresponding to the highest X; observation.
Decat Celoction
O O
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