For the simple OLS model, Y; = B0 + B1 × X; + €j, categorize the following as correct or incorrect statements. Correct Statement Incorrect Statement No Answers Chosen No Answers Chosen Possible answers | The slope estimator is nonlinear in the X data | The elasticity is the slope times the ratio X/Y. | The estimator for the slope is unbiased. | The slope'st-statistic is inversely related to the estimated intercept. | The slope estimator is linear in the Y data. | The elasticity is the slope times the ratio Y/X

For the simple OLS model, Y; = B0 + B1 × X; + €j, categorize the following as correct or incorrect statements. Correct Statement Incorrect Statement No Answers Chosen No Answers Chosen Possible answers | The slope estimator is nonlinear in the X data | The elasticity is the slope times the ratio X/Y. | The estimator for the slope is unbiased. | The slope'st-statistic is inversely related to the estimated intercept. | The slope estimator is linear in the Y data. | The elasticity is the slope times the ratio Y/X

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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You estimated a regression with the following output. Source | SS df MS Number of obs = 335 -------------+---------------------------------- F(1, 333) = 69555.83 Model | 211169628 1 211169628 Prob > F = 0.0000 Residual | 1010979.01 333 3035.97301 R-squared = 0.9952 -------------+---------------------------------- Adj R-squared = 0.9952 Total | 212180607 334 635271.28 Root MSE = 55.1 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 44.15183 .1674102 263.73 0.000 43.82251 44.48114 _cons | 31.63715 16.49849 1.92 0.056 -.8172452 64.09155…
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