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. regress wages education workexp unionmember south ib(last).occupation female Source Model Residual Total wages education workexp unionmember south occupation Management Sales Clerical Service Professional female cons SS 4477.32498 9599.37357 14076.6985 Coefficient .6722878 .0936955 1.517377 .6885843 df · 10 447.732498 523 18.3544428 Std. err. 533 26.4103162 0990429 . 0165623 .5083565 4150423 MS 2.799024 .756551 -1.17642 .8139971 -.5480944 6319067 -1.349161 .6065975 1.531115 .6888258 -1.845267 .4152299 -.8195072 1.348736 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.79 0.000 5.66 0.000 2.98 0.003 -1.66 0.098 3.70 0.000 -1.45 0.149 -0.87 0.386 0.027 -2.22 2.22 0.027 -4.44 0.000 -0.61 0.544 = = = .4777169 .0611587 .5187055 -1.503939 = 1.312772 -2.775525 -1.789482 -2.540828 . 1779095 = -2.66099 -3.469113 = [95% conf. interval] 534 24.39 0.0000 0.3181 0.3050 4.2842 8668586 . 1262322 2.516049 .1267705 4.285276 .4226859 .6932927 -.1574936 2.88432 -1.029544 1.830098

. regress wages education workexp unionmember south ib(last).occupation female Source Model Residual Total wages education workexp unionmember south occupation Management Sales Clerical Service Professional female cons SS 4477.32498 9599.37357 14076.6985 Coefficient .6722878 .0936955 1.517377 .6885843 df · 10 447.732498 523 18.3544428 Std. err. 533 26.4103162 0990429 . 0165623 .5083565 4150423 MS 2.799024 .756551 -1.17642 .8139971 -.5480944 6319067 -1.349161 .6065975 1.531115 .6888258 -1.845267 .4152299 -.8195072 1.348736 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.79 0.000 5.66 0.000 2.98 0.003 -1.66 0.098 3.70 0.000 -1.45 0.149 -0.87 0.386 0.027 -2.22 2.22 0.027 -4.44 0.000 -0.61 0.544 = = = .4777169 .0611587 .5187055 -1.503939 = 1.312772 -2.775525 -1.789482 -2.540828 . 1779095 = -2.66099 -3.469113 = [95% conf. interval] 534 24.39 0.0000 0.3181 0.3050 4.2842 8668586 . 1262322 2.516049 .1267705 4.285276 .4226859 .6932927 -.1574936 2.88432 -1.029544 1.830098

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 31E
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Test the null hypothesis H0 : β1 = β2 against the alternative H1 : β1 < β2 at 1% significance level.

. regress wages education workexp unionmember south ib(last).occupation female Source Model Residual Total wages education workexp unionmember south occupation Management Sales Clerical Service Professional female cons SS 4477.32498 9599.37357 14076.6985 Coefficient .6722878 .0936955 1.517377 .6885843 df · 10 447.732498 523 18.3544428 Std. err. 533 26.4103162 0990429 . 0165623 .5083565 4150423 MS 2.799024 .756551 -1.17642 .8139971 -.5480944 6319067 -1.349161 .6065975 1.531115 .6888258 -1.845267 .4152299 -.8195072 1.348736 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.79 0.000 5.66 0.000 2.98 0.003 -1.66 0.098 3.70 0.000 -1.45 0.149 -0.87 0.386 0.027 -2.22 2.22 0.027 -4.44 0.000 -0.61 0.544 = = = .4777169 .0611587 .5187055 -1.503939 = 1.312772 -2.775525 -1.789482 -2.540828 . 1779095 = -2.66099 -3.469113 = [95% conf. interval] 534 24.39 0.0000 0.3181 0.3050 4.2842 8668586 . 1262322 2.516049 .1267705 4.285276 .4226859 .6932927 -.1574936 2.88432 -1.029544 1.830098
Transcribed Image Text:. regress wages education workexp unionmember south ib(last).occupation female Source Model Residual Total wages education workexp unionmember south occupation Management Sales Clerical Service Professional female cons SS 4477.32498 9599.37357 14076.6985 Coefficient .6722878 .0936955 1.517377 .6885843 df · 10 447.732498 523 18.3544428 Std. err. 533 26.4103162 0990429 . 0165623 .5083565 4150423 MS 2.799024 .756551 -1.17642 .8139971 -.5480944 6319067 -1.349161 .6065975 1.531115 .6888258 -1.845267 .4152299 -.8195072 1.348736 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.79 0.000 5.66 0.000 2.98 0.003 -1.66 0.098 3.70 0.000 -1.45 0.149 -0.87 0.386 0.027 -2.22 2.22 0.027 -4.44 0.000 -0.61 0.544 = = = .4777169 .0611587 .5187055 -1.503939 = 1.312772 -2.775525 -1.789482 -2.540828 . 1779095 = -2.66099 -3.469113 = [95% conf. interval] 534 24.39 0.0000 0.3181 0.3050 4.2842 8668586 . 1262322 2.516049 .1267705 4.285276 .4226859 .6932927 -.1574936 2.88432 -1.029544 1.830098
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