就是超级简单的回归分析啦。。可老师让分析一下结果,写分析报告,可是。。。偶都不知道怎么下手。。。
{smcl}
{com}{sf}{ul off}{txt}{.-}
log: {res}D:\DATA\aa.smcl
{txt}log type: {res}smcl
{txt}opened on: {res}31 Mar 2011, 14:53:12
{txt}
{com}. insheet using D:\Stata9\EAEF01.txt
{txt}(51 vars, 540 obs)
{com}. reg s asvabc
{txt}Source {c |} SS df MS Number of obs ={res} 540
{txt}{hline 13}{char +}{hline 30} F( 1, 538) ={res} 220.65
{txt} Model {char |} {res} 1024.07299 1 1024.07299 {txt}Prob > F = {res} 0.0000
{txt}Residual {char |} {res} 2496.91034 538 4.64109729 {txt}R-squared = {res} 0.2908
{txt}{hline 13}{char +}{hline 30} Adj R-squared = {res} 0.2895
{txt} Total {char |} {res} 3520.98333 539 6.53243661 {txt}Root MSE = {res} 2.1543
{txt}{hline 13}{c TT}{hline 64}
s {c |} Coef. Std. Err. t P>|t| [95% Conf. Interval]
{hline 13}{char +}{hline 64}
asvabc {c |} {res} .1512292 .0101808 14.85 0.000 .1312303 .1712282
{txt} _cons {c |} {res} 5.848944 .5347613 10.94 0.000 4.798468 6.89942
{txt}{hline 13}{c BT}{hline 64}
{com}. reg s earnings
{txt}Source {c |} SS df MS Number of obs ={res} 540
{txt}{hline 13}{char +}{hline 30} F( 1, 538) ={res} 111.28
{txt} Model {char |} {res} 603.448926 1 603.448926 {txt}Prob > F = {res} 0.0000
{txt}Residual {char |} {res} 2917.53441 538 5.42292641 {txt}R-squared = {res} 0.1714
{txt}{hline 13}{char +}{hline 30} Adj R-squared = {res} 0.1698
{txt} Total {char |} {res} 3520.98333 539 6.53243661 {txt}Root MSE = {res} 2.3287
{txt}{hline 13}{c TT}{hline 64}
s {c |} Coef. Std. Err. t P>|t| [95% Conf. Interval]
{hline 13}{char +}{hline 64}
earnings {c |} {res} .072465 .0068695 10.55 0.000 .0589707 .0859593
{txt} _cons {c |} {res} 12.24327 .1684998 72.66 0.000 11.91227 12.57427
{txt}{hline 13}{c BT}{hline 64}
{com}. res s asvabc sm
{err}unrecognized command: res
{txt}{search r(199):r(199);}
{com}. reg s asvabc sm
{txt}Source {c |} SS df MS Number of obs ={res} 540
{txt}{hline 13}{char +}{hline 30} F( 2, 537) ={res} 134.38
{txt} Model {char |} {res} 1174.41457 2 587.207284 {txt}Prob > F = {res} 0.0000
{txt}Residual {char |} {res} 2346.56877 537 4.36977424 {txt}R-squared = {res} 0.3335
{txt}{hline 13}{char +}{hline 30} Adj R-squared = {res} 0.3311
{txt} Total {char |} {res} 3520.98333 539 6.53243661 {txt}Root MSE = {res} 2.0904
{txt}{hline 13}{c TT}{hline 64}
s {c |} Coef. Std. Err. t P>|t| [95% Conf. Interval]
{hline 13}{char +}{hline 64}
asvabc {c |} {res} .1286305 .0106034 12.13 0.000 .1078012 .1494598
{txt} sm {c |} {res} .2277096 .0388214 5.87 0.000 .1514492 .30397
{txt} _cons {c |} {res} 4.357175 .5778698 7.54 0.000 3.222013 5.492338
{txt}{hline 13}{c BT}{hline 64}
{com}. reg s asvabc sf
{txt}Source {c |} SS df MS Number of obs ={res} 540
{txt}{hline 13}{char +}{hline 30} F( 2, 537) ={res} 143.70
{txt} Model {char |} {res} 1227.47384 2 613.73692 {txt}Prob > F = {res} 0.0000
{txt}Residual {char |} {res} 2293.50949 537 4.2709674 {txt}R-squared = {res} 0.3486
{txt}{hline 13}{char +}{hline 30} Adj R-squared = {res} 0.3462
{txt} Total {char |} {res} 3520.98333 539 6.53243661 {txt}Root MSE = {res} 2.0666
{txt}{hline 13}{c TT}{hline 64}
s {c |} Coef. Std. Err. t P>|t| [95% Conf. Interval]
{hline 13}{char +}{hline 64}
asvabc {c |} {res} .1222618 .0106302 11.50 0.000 .1013798 .1431437
{txt} sf {c |} {res} .2012069 .0291561 6.90 0.000 .1439329 .2584809
{txt} _cons {c |} {res} 4.96503 .5287429 9.39 0.000 3.926372 6.003688
{txt}{hline 13}{c BT}{hline 64}
{com}. reg s asvabc sm sf
{txt}Source {c |} SS df MS Number of obs ={res} 540
{txt}{hline 13}{char +}{hline 30} F( 3, 536) ={res} 99.47
{txt} Model {char |} {res} 1259.22107 3 419.740358 {txt}Prob > F = {res} 0.0000
{txt}Residual {char |} {res} 2261.76226 536 4.21970571 {txt}R-squared = {res} 0.3576
{txt}{hline 13}{char +}{hline 30} Adj R-squared = {res} 0.3540
{txt} Total {char |} {res} 3520.98333 539 6.53243661 {txt}Root MSE = {res} 2.0542
{txt}{hline 13}{c TT}{hline 64}
s {c |} Coef. Std. Err. t P>|t| [95% Conf. Interval]
{hline 13}{char +}{hline 64}
asvabc {c |} {res} .1171001 .0107325 10.91 0.000 .0960172 .138183
{txt} sm {c |} {res} .122768 .0447583 2.74 0.006 .0348449 .2106912
{txt} sf {c |} {res} .1524304 .0340015 4.48 0.000 .0856379 .2192229
{txt} _cons {c |} {res} 4.375032 .5678743 7.70 0.000 3.2595 5.490564
{txt}{hline 13}{c BT}{hline 64}
{com}. reg earnings s exp
{txt}Source {c |} SS df MS Number of obs ={res} 540
{txt}{hline 13}{char +}{hline 30} F( 2, 537) ={res} 66.73
{txt} Model {char |} {res} 22875.361 2 11437.6805 {txt}Prob > F = {res} 0.0000
{txt}Residual {char |} {res} 92041.6004 537 171.399628 {txt}R-squared = {res} 0.1991
{txt}{hline 13}{char +}{hline 30} Adj R-squared = {res} 0.1961
{txt} Total {char |} {res} 114916.961 539 213.20401 {txt}Root MSE = {res} 13.092
{txt}{hline 13}{c TT}{hline 64}
earnings {c |} Coef. Std. Err. t P>|t| [95% Conf. Interval]
{hline 13}{char +}{hline 64}
s {c |} {res} 2.674036 .2319993 11.53 0.000 2.218299 3.129774
{txt} exp {c |} {res} .5940972 .1379237 4.31 0.000 .3231612 .8650333
{txt} _cons {c |} {res}-26.93165 4.523408 -5.95 0.000 -35.81739 -18.0459
{txt}{hline 13}{c BT}{hline 64}
{com}.