Qualtatve Varables Marh, Poltal See 55 Qualtatve Varables Dhotomous Predtor Y PID Geder ( male, female) Y ( ) Y Y Y Y Dummy Varables-Geder. FT-BUSH PID GENDER. ge geder(v9). regress v6 v5 geder v6 Coef. Std. Err. t P> t [95% Cof. Iterval] ----------------------------------------------------------------------------- v5 6.8877.597 7.. 6.87688 7.8779 geder.69969.768.7.7 -.6.577 _os 6.9.666.9..686 8.6.. redt yhatg (oto xb assumed; ftted values). twoway (satter v6 v5, jtter()) (le yhatg v5 f geder >, sort) (le yhatg v5 f geder!, sort)
Qualtatve Varables Marh, 6 8 6 Kx. Party ID summary C/C.T. Thermometer George W Bush t-test equvaley. ttest v6, by(v9) Two-samle t test wth equal varaes Grou Obs Mea Std. Err. Std. Dev.. MALE 668 57.9.976.97.. FEMAL 85 55.899.86789 5.87 ombed 59 56.586.658.95755 dff.99.95 Degrees of freedom: 57 Ha: dff < Ha: dff! Ha: dff > t.95 t.95 t.95 P < t.897 P > t.6 P > t.7. ge geder(v9). regress v6 geder v6 Coef. Std. Err. t P> t geder -.99.95 -.95. _os 57.9.9656656 59.7. Three or More Categores Y 5 5 Y 5 5 5
Qualtatve Varables Marh, Mult-Category Examle. x: regress v6 v5.rego v6 Coef. Std. Err. t P>t v5 6.899.5766 7.8. _Irego_ -.96798.66896 -.6.95 _Irego_ 5.97.5.86. _Irego_ -.767.68 -.9.66 _os 5.778.76 5.6.. redt yhat (oto xb assumed; ftted values) ( mssg values geerated). twoway (lft yhat v5 f rego) (lft yhat v5 f rego) > (lft yhat v5 f rego) (lft yhat v5 f rego) Plot of Mult-Category 5 6 7 8 6 Kx. Party ID summary ANOVA o Rego. reode v79 (/9 "East")(/9 "Mdwest")(/59 "South/Border > ")(6/79 "West")(96.),ge(rego) oeway v6 rego, tabulate Summary of C/C.T. Thermometer George W Bush rego Mea Std. Dev. Freq. -------------------------------------------------- East 5 5 6 Mdwest 5 5 8 South/Bor 6 5 5 West 5 5 -------------------------------------------------- Total 56 5 57 Aalyss of Varae Soure SS df MS F Prob > F ------------------------------------------------------------------------ Betwee grous 959.678 69.859.5. Wth grous 977.97 5 6.8796 ------------------------------------------------------------------------ Total 97.8 56 6.7
Qualtatve Varables Marh, Rego as Dummy Varable. x: regress v6.rego.rego _Irego_- (aturally oded; _Irego_ omtted) Soure SS df MS Number of obs 57 ---------------------------------------------- F(, 5).5 Model 959.678 69.859 Prob > F. Resdual 977.97 5 6.8796 R-squared. ----------------------------------------------- Adj R-squared.85 Total 97.8 56 6.7 Root MSE.75 v6 Coef. Std. Err. t P> t ----------------------------------------------------------------------------- _Irego_ -..977 -.6.955 _Irego_ 6.986.856.5. _Irego_ -.5758.76 -..98 _os 5.9.595 5.8. Modfyg Omtted Category. har rego[omt]. x: regress v6.rego.rego _Irego_- (aturally oded; _Irego_ omtted) Soure SS df MS Number of obs 57 --------------------------------------------- F(, 5).5 Model 959.678 69.859 Prob > F. Resdual 977.97 5 6.8796 R-squared. --------------------------------------------- Adj R-squared.85 Total 97.8 56 6.7 Root MSE.75 v6 Coef. Std. Err. t P> t ----------------------------------------------------------------------------- _Irego_ -6.986.856 -.5. _Irego_ -6.695.656 -.. _Irego_ -8.67.76888 -.99. _os 6.997.6559 57.5. Effet Codg. reode _Irego ( -) f (rego). regress v6 _Irego Soure SS df MS Number of obs 57 F(, 5).5 Model 959.678 69.859 Prob > F. Resdual 977.97 5 6.8796 R-squared. Adj R-squared.85 Total 97.8 56 6.7 Root MSE.75 v6 Coef. Std. Err. t P>t _Irego_ -.65.5997 -.85.98 _Irego_ -.76557.89 -.6.89 _Irego_ -.99.65 -.7.6 _os 55.55776.6565 8.66.
Qualtatve Varables Marh, Effet Codg: Dhotomy. ge geder(v9). regress v6 geder v6 Coef. Std. Err. t P> t geder -.99.95 -.95. _os 57.9.9656656 59.7.. hage geder to effet odg. reode geder (-) (geder: 67 hages made). regress v6 geder,oheader v6 Coef. Std. Err. t P>t geder -.6965.6576 -.95. _os 56.695.6576 87.7. Two Nomal Varables. format v6 %6.f. table rego geder, >otets( mea v6 ) geder rego ---------------------------------------- East 57.59 5.5 Mdwest 55.6 5. South/Border 6.5 6.7 West 5.68 5.. x: regress v6.geder.rego,oheader v6 Coef. Std. Err. t _Igeder_ -.557.969 -.5 _Irego_ -6.57.876 -.9 _Irego_ -6.7.6685 -.85 _Irego_ -8.88.766 -.7 _os 6.769.5 7.6 FT F E FT F S 6.769.557 6.58 6.7 6.769.557 6.57 5.8588 5.5 Wth Iterato Terms. format v6 %6.f. table rego geder, >otets( mea v6 ) geder rego ---------------------------------------- East 57.59 5.5 Mdwest 55.6 5. South/Border 6.5 6.7 West 5.68 5.. x: regress v6.geder.rego v6 Coef. Std. Err. t _Igeder_ -.675.795 -.9 _Irego_ -.766556.87888 -. _Irego_ -6.97.57876 -. _Irego_ -8.677.556 -. _Igereg_~ -.85.795 -.7 _Igereg_~ -.88.7775 -. _Igereg_~.95665.9679.7 _os 6.57.68 7.5 FT F E b bgeder beast b5geder East FT F E 6.5.67.765.8 5.8 5.5 5
Qualtatve Varables Marh, Sloe Dummes Y Y Y ( ) ( ) Sloe Dummy Examle. ge blak( v) f v!.. ge dv5. x: regress v.blakd,oheader.blak _Iblak_- (aturally oded; _Iblak_ omtted).blakd _Iblad_# (oded as above) v Coef. Std. Err. t P>t _Iblak_.88.569 6.. d.78.5589.69. _Iblad_ -.686.977 -.8.69 _os.57.6986 7.5.. test d _Iblad_ ( ) d _Iblad_ [d _Iblad_ -.58] F(, 7).6 Prob > F.7 Sloe Dummy Grah twoway (lft v d f blak, rage( 6.)) (lft v d f blak) 5 5 55 6 65 6 d 6
Qualtatve Varables Marh, Multle Classfato Aalyss ad Automat Iterato Detetor m j Y j Y m j b j k b j j j Lear Probablty Model P. ge vote(v9) f v9<5 (5 mssg values geerated). regress vote d geder,oheader vote Coef. Std. Err. t P>t d -.758. -.9. geder.686.98..6 _os.7.9597 5.7. σ Heterosedastty { P} P ( P) σ σ P σ P{ } ( E{ }) P{ } P P{ } P E{ } P ( P) ( P)( P) ( P P P ) ( P P ) σ ( P P ) σ P ( P) P.....5.6.7.8.9 -P.9.8.7.6.5.... P(-P).9.6...5...6.9 7
Qualtatve Varables Marh, 8 Dsrmat Futo D... ( ) s D D D ( ) ( )...... Dsrmat Futo, D D ( ) D R D ( ) ( ), R R F Dsrmat Futo ad Lear Regresso b j j x x
Qualtatve Varables Marh, Dsrmat Futo Examle. dsrm vote d geder,redt Dhotomous Dsrmat Aalyss Observatos Obs Grou 57 Ide varables Obs Grou 587 Cetrod -.88 R-square.5988 Cetrod.566 Mahalaobs 5.9778 Grad Ctd -.7 Egevalue.98 Wlk's Lambda. Cao. Corr..779 Ch-square.e Eta Squared.5988 Sg Ch. Dsrmat Futo Examle, otued Dsrm Futo Ustadardzed Varable Coeffets Coeffets LearProb d.78 -.7 -.7 geder -.677.95.6 ostat -.89.96. ----- Predted ----- Atual Grou Grou Total Grou 7 55 57 Grou 8 55 587 Total 55 56 Corretly redted 87.7 % Model sestvty 89.56 % Model sefty 86. % False ostve.8 % False egatve 9.8 % 9