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Consider estimating the relationship between annual income (income) and a dummy variable equal to 1 if an individual is a female and otherwise gender by running an OLS regression in Stata. The results are in Figure 1. . reg income gender, robust Linear regression Number of obs 4,779 F(1, 4777) 188.63 %3D Prob > F 0.0000 %3D R-squared 0.0394 %3D Root MSE 36681 %3D Robust income Coefficient std. err. P> It| r95% conf interval1

Consider estimating the relationship between annual income (income) and a dummy variable equal to 1 if an individual is a female and otherwise gender by running an OLS regression in Stata. The results are in Figure 1. . reg income gender, robust Linear regression Number of obs 4,779 F(1, 4777) 188.63 %3D Prob > F 0.0000 %3D R-squared 0.0394 %3D Root MSE 36681 %3D Robust income Coefficient std. err. P> It| r95% conf interval1

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
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Consider estimating the relationship between annual income (income) and a dummy variable equal to 1 if an individual is a female and 0 otherwise gender by running an OLS regression in Stata. The results are in Figure 1. . reg income gender, robust Linear reg ression Number of obs 4,779 F(1, 4777) 188.63 Prob > F 0.0000 R-squared 0.0394 Root MSE 36681 Robust income Coefficient std. err. P>|t| [95% conf. interval] gender 1082.551 2033.434 -13.73 0.000 -16990.16 -12745.57 _cons 21.18 0.000 39072.15 47045.09 The OLS estimate of the intercept parameter is: a. -43,068.13212 b. 955.0827 С. The information given in the question is not sufficient to provide an answer d. 43,068.13212 9国00 10 W 四007 3 NOV X 22 étv 0
Transcribed Image Text:Consider estimating the relationship between annual income (income) and a dummy variable equal to 1 if an individual is a female and 0 otherwise gender by running an OLS regression in Stata. The results are in Figure 1. . reg income gender, robust Linear reg ression Number of obs 4,779 F(1, 4777) 188.63 Prob > F 0.0000 R-squared 0.0394 Root MSE 36681 Robust income Coefficient std. err. P>|t| [95% conf. interval] gender 1082.551 2033.434 -13.73 0.000 -16990.16 -12745.57 _cons 21.18 0.000 39072.15 47045.09 The OLS estimate of the intercept parameter is: a. -43,068.13212 b. 955.0827 С. The information given in the question is not sufficient to provide an answer d. 43,068.13212 9国00 10 W 四007 3 NOV X 22 étv 0
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