test1 -...

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Unformatted text preview: ------------------------------------------------------------------------------------------------- log: /Users/rickypilkingtun/Desktop/Documents/UCSB/Winter 2011/Econ 140B/test1.log log type: text opened on: 31 Jan 2011, 12:46:31. pwd/Users/rickypilkingtun/Documents/. help. use "/Users/rickypilkingtun/Desktop/Documents/UCSB/Winter 2011/Econ 140B/hprice.dta". reg price sqrft bdrms, robust;option ; not allowedr(198);. reg price sqrft bdrms, robustLinear regression Number of obs = 88 F( 2, 85) = 27.25 Prob > F = 0.0000 R-squared = 0.6319 Root MSE = 63.045------------------------------------------------------------------------------ | Robust price | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+---------------------------------------------------------------- sqrft | .1284362 .0195909 6.56 0.000 .0894843 .1673882 bdrms | 15.19819 8.943735 1.70 0.093 -2.58435 32.98073 _cons | -19.315 41.5205 -0.47 0.643 -101.8689 63.23889------------------------------------------------------------------------------. use "/Users/rickypilkingtun/Desktop/Documents/UCSB/Winter 2011/Econ 140B/gpa2.dta". logit colgpa athlete, vce(robust)note: athlete != 0 predicts success perfectly athlete dropped and 194 obs not usedIteration 0: log pseudolikelihood = -17.172593Logistic regression Number of obs = 3943 Wald chi2(0) = 0.00 Prob > chi2 = .Log pseudolikelihood = -17.172593 Pseudo R2 = 0.0000------------------------------------------------------------------------------ | Robust colgpa | Coef. Std. Err. z P>|z| [95% Conf. Interval]-------------+---------------------------------------------------------------- _cons | 7.586043 .7073759 10.72 0.000 6.199611 8.972474------------------------------------------------------------------------------. rreg colgpa athlete Huber iteration 1: maximum difference in weights = .66241934 Huber iteration 2: maximum difference in weights = .00891047Biweight iteration 3: maximum difference in weights = .26506355Biweight iteration 4: maximum difference in weights = .0026535Robust regression Number of obs = 4137 F( 1, 4135) = 39.19 Prob > F = 0.0000------------------------------------------------------------------------------ colgpa | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+---------------------------------------------------------------- athlete | -.3085877 .0492936 -6.26 0.000 -.4052297 -.2119458 _cons | 2.678296 .0106745 250.91 0.000 2.657368 2.699224------------------------------------------------------------------------------. rreg colgpa athlete Huber iteration 1: maximum difference in weights = .66241934 Huber iteration 2: maximum difference in weights = .00891047Biweight iteration 3: maximum difference in weights = .26506355Biweight iteration 4: maximum difference in weights = .0026535Robust regression Number of obs = 4137 F( 1, 4135) = 39.19 Prob > F = 0.0000------------------------------------------------------------------------------ colgpa | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+----------------------------------------------------------------...
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test1 -...

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