1. (30) Table 1 contains a part of Salary Survey Data. Row Y 1 13876 2...

  

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1. (30) Table 1 contains a part of Salary Survey Data. Row Y 1 13876 2 11608 3 16850 4 11283 5 11767 6 20654 7 11772 8 10535 9 19071 10 12313 11 14975 12 25400 Table 1 M 1 0 1 0 1 1 0 0 1 0 1 1 (b) Table 3 contains the regression output of the model Y=B0+3₁X+₁E₁+√₂E₂ +6₁M+ ε for Salary Survey Data. Here, E₁=1 if the person is in the H.S. category, otherwise E₁ = 0. And E₂ = 1 if the person is in the B.S. category, otherwise E₂0. X indicates years of experience. Variable Coefficient 11031 Constant X 548 E₁ -3058 E₂ 147 M 6531 Table 3. Give an interpretation of the estimated coefficients ₁, 2 and 72-71. 1. (30) Table 1 contains a part of Salary Survey Data. Row Y 1 13876 2 11608 3 16850 4 11283 5 11767 6 20654 7 11772 8 10535 9 19071 10 12313 11 14975 12 25400 Table 1 M 1 0 1 0 1 1 0 0 1 0 1 1 (b) Table 3 contains the regression output of the model Y=B0+3₁X+₁E₁+√₂E₂ +6₁M+ ε for Salary Survey Data. Here, E₁=1 if the person is in the H.S. category, otherwise E₁ = 0. And E₂ = 1 if the person is in the B.S. category, otherwise E₂0. X indicates years of experience. Variable Coefficient 11031 Constant X 548 E₁ -3058 E₂ 147 M 6531 Table 3. Give an interpretation of the estimated coefficients ₁, 2 and 72-71.

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a YES we can estimate LSES because since the intercept term is ... View the full answer