统计建模作业回归分析.doc

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1、统计建模回归分析高翠莹数字媒体技术1516103315009一、用mroz.dta数据集，完成以下任务：(1)考察教育educ、经验exper、经验的平方expersq、年龄age>小于6岁孩子的个数kidslt6、6到18岁孩子的个数kidsge6nwifeinc、对工作小时hours的作用。语句：reghourseducexperexpersqagekidslt6kidsge6nwifeinc实验结果截图：•reghourseducexperexpersqagekidslt6kidsge6nwifeincSourceSSdfMSNumberofobs■753■oaRe

2、ID•3UModel151647606721663943.7Prob>F■0.0000Residual419262118745562767.944R-squared■0.2656■nokq0!muj貝U•fTotal570909724752759188.463RootMSE■750.18hoursCoef•Scd.Err.zP>

3、c

4、(95%Conf.Interval]educ28.7611212.954592.220.0273.32928354.19297exper65.672519.9629836.590.00046.1136589.23138expersq・.700

5、4939.3245501・2.160.031・1.337635・•0633524■30・511634・363868■6.990.000-39・07858・21・94469kid31c6・442.089958.8466-7.510.000・557.6148■326.565kidsge6-32.7792323.17622-1.410.158-78.277712.71924nwifeinc・3.4466362.544-1.350.176-8.4408981.547626_cons1330.482270.78464.910.000798.89061862.074(2)在上题的基础

6、上，将父亲的教育fatheduc、母亲的教育motheduc＞丈夫的教育huseduc加入自变量中，用swreg命令逐步剔除90%水平下不显著的变量。语句:swreghourseducexperexpersqagekidslt6kidsge6nwifeincfatheducmotheduchuseduc,pr(0・l)实现结果截图：•swreghourseducexperexpersqagekidslt6kidsge6nwifemefatheducmotheduchuseduc,pr(0.1)beginwithfullmodelp■0.6429>-0•1000removi

7、ngfatheducp・0.3929>-0.1000removingnwifeincp■0.3177>•0.1000removingmotheducp■0.1415>-0.1000removingkidsge6SourceSSd£MSNunberofobs■753F(6.746)■45.03Model151786461625297743.5Prob>F■0.0000Residual419123263746561827.43R-squared•0.2659AdjR-sq^aared■0.2600Total570909724752759188•463RootMSE■749.5

8、5hoursCoef•Std.Err.tP>

9、tl(95%Conf.Interval]educ43.8430415.307912・860.00413.7913273・89476exper68・377189・8978146.9)0.00048・9462987.80306expersq・•7320198.3246271-2.250.024・1.369311・•0947284age・29.91574.039699-7.410.000・37.84623・21.98517kidslt6■431.344858.43857-7.380.000•946.0684-316.6211huse

10、duc■23.9439911.96065-2.070.039-46.63886■1.248306_cons1279.481246.96985.190.000793.42821763.535