The questions below are based on a dataset containing the characteristics of 5,407households. In particular, we will use the following variables:- size: home size, measured in square feet.- hhinc: annual household net income, measured in euros.- owner: dummy variable equal to 1 if the living space is owned, and 0 if the livingspace is rented.- hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or2, and 0 otherwise.- hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or4, and 0 otherwise.- hhsize3: dummy variable equal to 1 if the number of household’s members is 5 orabove 5, and 0 otherwise.- edu: education level of household’s members.Consider the results in Table 4. Interpret the size and magnitude of the estimatedcoefficient of owner. Why is the estimated coefficient of owner in Table 4 equal to theestimated coefficient of owner in Table 3? Table 4. regress size hhinc owner hhsizel hhsize2 hhsize3, robustLinear regressionNumber of obs5,407F(4, 5402)877.84Prob > F0.0000R-squared0.4269Root MSE348.5RobustsizeCoefficient std. err.P>|t|[95% conf. interval]hhinc.005163.000497610.380.0000041875e061384owner374.504910.6921935.030.000353.5439395.4659hhsizel-282.449522.50563-12.550.000-326.5696-238.3294hhsize2-152.953320.30738-7.530.000-192.764-113.1426hhsize3O (omitted)cons930.348929.3455631.700.000872.8197987.878 Table 3. regress size hhánc owner hhsizel hhsizez hhsize3, robust noconstantLinear regressionNumber of obs5,407F(5, 5402)11317.91Prob > F0.0000R-squared0.9157Root MSE348.5Robustsize Coefficient std. err.P>|t|(95% conf. interval]hhinc.005163.000497618.380.000.0041875.0061384Owner374.504910.6921935.030.000353.5439395.4659hhsizel647.899412.7997350.620.000622.8068672.992hhsize27.3956רר21.4297736.280.000735.3846819.4065hhsize3930.348929.3455631.700.000872.8197987.878

Consider the Table-4 The coefficient of the owner is 374.5049.

The questions below are based on a dataset containing the characteristics of 5,407 households. In particular, we will use the following variables: - size: home size, measured in square feet. - hhinc: annual household net income, measured in euros. - owner: dummy variable equal to 1 if the living space is owned, and 0 if the living space is rented. - hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or 2, and 0 otherwise. - hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or 4, and 0 otherwise. - hhsize3: dummy variable equal to 1 if the number of household’s members is 5 or above 5, and 0 otherwise. - edu: education level of household’s members. Consider the results in Table 4. Interpret the size and magnitude of the estimated coefficient of owner. Why is the estimated coefficient of owner in Table 4 equal to the estimated coefficient of owner in Table 3?

The questions below are based on a dataset containing the characteristics of 5,407 households. In particular, we will use the following variables: - size: home size, measured in square feet. - hhinc: annual household net income, measured in euros. - owner: dummy variable equal to 1 if the living space is owned, and 0 if the living space is rented. - hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or 2, and 0 otherwise. - hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or 4, and 0 otherwise. - hhsize3: dummy variable equal to 1 if the number of household’s members is 5 or above 5, and 0 otherwise. - edu: education level of household’s members. Consider the results in Table 4. Interpret the size and magnitude of the estimated coefficient of owner. Why is the estimated coefficient of owner in Table 4 equal to the estimated coefficient of owner in Table 3?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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