Suppose that you are estimating the simple regression model Y; = B1 + B2X; + ui, and in your sample, the dependent variable and regressor are negatively correlated. %3D Select one

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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1
Suppose that you are estimating the simple regression model Y; = B1 + B2 X; + ui,
and in your sample, the dependent variable and regressor are negatively correlated.
%3D
Select one:
a. The OLS estimator of the slope, b2 < 0.
O b. The OLS estimator of the slope, b2 > 0.
O c. The OLS estimator of the intercept, b1 > 0.
O d. The sign of the OLS slope estimator depends of the variance of X and Y in the
sample.
Transcribed Image Text:Suppose that you are estimating the simple regression model Y; = B1 + B2 X; + ui, and in your sample, the dependent variable and regressor are negatively correlated. %3D Select one: a. The OLS estimator of the slope, b2 < 0. O b. The OLS estimator of the slope, b2 > 0. O c. The OLS estimator of the intercept, b1 > 0. O d. The sign of the OLS slope estimator depends of the variance of X and Y in the sample.
Suppose Y; = bị + b2X is the fitted equation from OLS estimation of the simple
regression model.
Select one or more:
а.
The residual of observation i is e; = Y - Y.
%3D
O b. Y; = b1 + b2 X; + e;
O C. Y; = B1 + B2 X; + e;
O d. Y; = b1 + b2 X; + u;
Transcribed Image Text:Suppose Y; = bị + b2X is the fitted equation from OLS estimation of the simple regression model. Select one or more: а. The residual of observation i is e; = Y - Y. %3D O b. Y; = b1 + b2 X; + e; O C. Y; = B1 + B2 X; + e; O d. Y; = b1 + b2 X; + u;
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