Examp7_9

# Examp7_9 - Examples from the textbook related to...

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Unformatted text preview: Examples from the textbook related to “Exersise 4” (Chapter 7-9) Examples 7.1: Hourly Wage Equation Data; Wage1.dta reg wage female educ exper tenure Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 4, 521) = 74.40 Model | 2603.10658 4 650.776644 Prob > F = 0.0000 Residual | 4557.30771 521 8.7472317 R-squared = 0.3635 -------------+------------------------------ Adj R-squared = 0.3587 Total | 7160.41429 525 13.6388844 Root MSE = 2.9576 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- female | -1.810852 .2648252 -6.84 0.000 -2.331109 -1.290596 educ | .5715048 .0493373 11.58 0.000 .4745803 .6684293 exper | .0253959 .0115694 2.20 0.029 .0026674 .0481243 tenure | .1410051 .0211617 6.66 0.000 .0994323 .1825778 _cons | -1.567939 .7245511 -2.16 0.031 -2.991339 -.144538 ------------------------------------------------------------------------------ reg wage female Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 1, 524) = 68.54 Model | 828.220467 1 828.220467 Prob > F = 0.0000 Residual | 6332.19382 524 12.0843394 R-squared = 0.1157 -------------+------------------------------ Adj R-squared = 0.1140 Total | 7160.41429 525 13.6388844 Root MSE = 3.4763 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- female | -2.51183 .3034092 -8.28 0.000 -3.107878 -1.915782 _cons | 7.099489 .2100082 33.81 0.000 6.686928 7.51205 ------------------------------------------------------------------------------ Average wage for women lincom female+_cons ( 1) female + _cons = 0.0 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- (1) | 4.587659 .2189834 20.95 0.000 4.157466 5.017852 ------------------------------------------------------------------------------ Example 7.2: Effects of Computer Ownership on College GPA Data GPA1.dta reg colGPA PC hsGPA ACT Source | SS df MS Number of obs = 141 -------------+------------------------------ F( 3, 137) = 12.83 Model | 4.25741863 3 1.41913954 Prob > F = 0.0000 Residual | 15.1486808 137 .110574313 R-squared = 0.2194 -------------+------------------------------ Adj R-squared = 0.2023 Total | 19.4060994 140 .138614996 Root MSE = .33253 ------------------------------------------------------------------------------ colGPA | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- PC | .1573092 .0572875 2.75 0.007 .0440271 .2705913 hsGPA | .4472417 .0936475 4.78 0.000 .2620603 .632423 ACT | .008659 .0105342 0.82 0.413 -.0121717 .0294897 ....
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Examp7_9 - Examples from the textbook related to...

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