22:24 Thursday, December 9, 2004 338

                                       The MEANS Procedure

Variable  Label                                 Minimum       Maximum          Mean           Sum
ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ
npop      2001 census population estimate     1.0000000   137.0000000    22.6077608     281986.60
AyrA_num  number of respondents                       0     6.0000000     0.3339213       4165.00
ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ

                                                             22:24 Thursday, December 9, 2004 339

                                     The LOGISTIC Procedure

                                        Model Information

     Data Set                       EXEMP5.EX5_WEIGHTING
     Response Variable (Events)     AyrA_num                 number of respondents
     Response Variable (Trials)     npop                     2001 census population estimate
     Number of Observations         12473
     Model                          binary logit
     Optimization Technique         Fisher's scoring

                                         Response Profile

                                Ordered     Binary           Total
                                  Value     Outcome      Frequency

                                      1     Event             4165
                                      2     Nonevent      277821.6

                                     Class Level Information

                                                  Design Variables

     Class     Value     1     2     3     4     5     6     7     8     9    10    11    12

     agegrp    1         1     0     0     0     0     0     0     0     0     0     0     0
               2         0     1     0     0     0     0     0     0     0     0     0     0
               3         0     0     1     0     0     0     0     0     0     0     0     0
               4         0     0     0     1     0     0     0     0     0     0     0     0
               5         0     0     0     0     1     0     0     0     0     0     0     0
               6         0     0     0     0     0     1     0     0     0     0     0     0
               7         0     0     0     0     0     0     1     0     0     0     0     0
               8         0     0     0     0     0     0     0     1     0     0     0     0
               9         0     0     0     0     0     0     0     0     1     0     0     0
               10        0     0     0     0     0     0     0     0     0     1     0     0
               11        0     0     0     0     0     0     0     0     0     0     1     0
               12        0     0     0     0     0     0     0     0     0     0     0     1
               13       -1    -1    -1    -1    -1    -1    -1    -1    -1    -1    -1    -1

     gender    F         1
               M        -1

                                    Model Convergence Status

                         Convergence criterion (GCONV=1E-8) satisfied.

                                                             22:24 Thursday, December 9, 2004 340

                                     The LOGISTIC Procedure

                                      Model Fit Statistics

                                                           Intercept
                                            Intercept         and
                             Criterion        Only        Covariates

                             AIC            43382.320      42880.063
                             SC             43392.870      43302.048
                             -2 Log L       43380.320      42800.063

                             Testing Global Null Hypothesis: BETA=0

                     Test                 Chi-Square       DF     Pr > ChiSq

                     Likelihood Ratio       580.2574       39         <.0001
                     Score                  593.1310       39         <.0001
                     Wald                   553.9269       39         <.0001

                                  Type III Analysis of Effects

                                                       Wald
                        Effect             DF    Chi-Square    Pr > ChiSq

                        agegrp             12       86.7719        <.0001
                        gender              1       10.8543        0.0010
                        agegrp*gender      12       91.7986        <.0001
                        sinc*agegrp        12       25.8603        0.0112
                        sacc                1        3.9165        0.0478
                        sinc                1       82.8782        <.0001

                            Analysis of Maximum Likelihood Estimates

                                                  Standard          Wald
          Parameter             DF    Estimate       Error    Chi-Square    Pr > ChiSq

          Intercept              1     -3.9857      0.0296    18112.8045        <.0001
          agegrp        1        1    0.000578      0.1170        0.0000        0.9961
          agegrp        2        1     -0.5018      0.1275       15.4931        <.0001
          agegrp        3        1     -0.0605      0.1092        0.3067        0.5797
          agegrp        4        1     -0.2187      0.1016        4.6296        0.0314
          agegrp        5        1     -0.3505      0.0974       12.9403        0.0003
          agegrp        6        1     -0.0553      0.0850        0.4231        0.5154
          agegrp        7        1     -0.0456      0.0857        0.2832        0.5946
          agegrp        8        1     -0.1742      0.0841        4.2946        0.0382
          agegrp        9        1      0.0731      0.0874        0.6986        0.4033
          agegrp        10       1      0.2539      0.0857        8.7880        0.0030
          agegrp        11       1      0.2181      0.0919        5.6336        0.0176

                                                             22:24 Thursday, December 9, 2004 341

                                     The LOGISTIC Procedure

                            Analysis of Maximum Likelihood Estimates

                                                  Standard          Wald
          Parameter             DF    Estimate       Error    Chi-Square    Pr > ChiSq

          agegrp        12       1      0.3675      0.0939       15.3084        <.0001
          gender        F        1      0.0541      0.0164       10.8543        0.0010
          agegrp*gender 1  F     1      0.2666      0.0727       13.4552        0.0002
          agegrp*gender 2  F     1      0.1459      0.0722        4.0839        0.0433
          agegrp*gender 3  F     1      0.0832      0.0619        1.8075        0.1788
          agegrp*gender 4  F     1      0.0902      0.0589        2.3470        0.1255
          agegrp*gender 5  F     1      0.1895      0.0580       10.6821        0.0011
          agegrp*gender 6  F     1      0.0516      0.0508        1.0328        0.3095
          agegrp*gender 7  F     1     -0.0284      0.0508        0.3114        0.5768
          agegrp*gender 8  F     1     -0.0201      0.0494        0.1660        0.6837
          agegrp*gender 9  F     1     -0.0278      0.0511        0.2971        0.5857
          agegrp*gender 10 F     1     -0.0492      0.0489        1.0109        0.3147
          agegrp*gender 11 F     1     -0.1265      0.0513        6.0936        0.0136
          agegrp*gender 12 F     1     -0.2304      0.0526       19.2240        <.0001
          sinc*agegrp   1        1     -0.0267     0.00714       13.9919        0.0002
          sinc*agegrp   2        1     0.00452     0.00628        0.5178        0.4718
          sinc*agegrp   3        1    -0.00795     0.00581        1.8729        0.1711
          sinc*agegrp   4        1    -0.00697     0.00558        1.5623        0.2113
          sinc*agegrp   5        1    -0.00108     0.00531        0.0417        0.8383
          sinc*agegrp   6        1    0.000259     0.00474        0.0030        0.9564
          sinc*agegrp   7        1     0.00423     0.00482        0.7716        0.3797
          sinc*agegrp   8        1      0.0108     0.00455        5.6145        0.0178
          sinc*agegrp   9        1     0.00133     0.00496        0.0720        0.7884
          sinc*agegrp   10       1     0.00354     0.00463        0.5864        0.4438
          sinc*agegrp   11       1     0.00503     0.00492        1.0470        0.3062
          sinc*agegrp   12       1     0.00457     0.00504        0.8204        0.3651
          sacc                   1      0.0469      0.0237        3.9165        0.0478
          sinc                   1     -0.0147     0.00161       82.8782        <.0001

                                      Odds Ratio Estimates

                                             Point          95% Wald
                       Effect             Estimate      Confidence Limits

                       sacc                  1.048       1.000       1.098

                  Association of Predicted Probabilities and Observed Responses

                     Percent Concordant          54.6    Somers' D    0.203
                     Percent Discordant          34.3    Gamma        0.228
                     Percent Tied                11.0    Tau-a        0.006
                     Pairs                 1157126964    c            0.601

                                                             22:24 Thursday, December 9, 2004 342

                                     The LOGISTIC Procedure

                                        Model Information

       Data Set                       WORK.NEW
       Response Variable (Events)     AyrA_num             number of respondents
       Response Variable (Trials)     npop                 2001 census population estimate
       Number of Observations         12473
       Model                          binary logit
       Optimization Technique         Fisher's scoring

                                         Response Profile

                                Ordered     Binary           Total
                                  Value     Outcome      Frequency

                                      1     Event             4165
                                      2     Nonevent      277821.6

                                     Class Level Information

                                                  Design Variables

     Class     Value     1     2     3     4     5     6     7     8     9    10    11    12

     agegrp    1         1     0     0     0     0     0     0     0     0     0     0     0
               2         0     1     0     0     0     0     0     0     0     0     0     0
               3         0     0     1     0     0     0     0     0     0     0     0     0
               4         0     0     0     1     0     0     0     0     0     0     0     0
               5         0     0     0     0     1     0     0     0     0     0     0     0
               6         0     0     0     0     0     1     0     0     0     0     0     0
               7         0     0     0     0     0     0     1     0     0     0     0     0
               8         0     0     0     0     0     0     0     1     0     0     0     0
               9         0     0     0     0     0     0     0     0     1     0     0     0
               10        0     0     0     0     0     0     0     0     0     1     0     0
               11        0     0     0     0     0     0     0     0     0     0     1     0
               12        0     0     0     0     0     0     0     0     0     0     0     1
               13       -1    -1    -1    -1    -1    -1    -1    -1    -1    -1    -1    -1

     gender    F         1
               M        -1

     sinc      1         1     0     0     0
               2         0     1     0     0
               3         0     0     1     0
               4         0     0     0     1
               5        -1    -1    -1    -1

                                                             22:24 Thursday, December 9, 2004 343

                                     The LOGISTIC Procedure

                                    Model Convergence Status

                         Convergence criterion (GCONV=1E-8) satisfied.

                                      Model Fit Statistics

                                                           Intercept
                                            Intercept         and
                             Criterion        Only        Covariates

                             AIC            43382.320      42881.843
                             SC             43392.870      43346.026
                             -2 Log L       43380.320      42793.843

                             Testing Global Null Hypothesis: BETA=0

                     Test                 Chi-Square       DF     Pr > ChiSq

                     Likelihood Ratio       586.4772       43         <.0001
                     Score                  599.1308       43         <.0001
                     Wald                   559.0707       43         <.0001

                                  Type III Analysis of Effects

                                                       Wald
                        Effect             DF    Chi-Square    Pr > ChiSq

                        agegrp             12       86.6923        <.0001
                        gender              1       10.8204        0.0010
                        agegrp*gender      12       91.7326        <.0001
                        sincl*agegrp       12       25.8254        0.0114
                        sacc                1        4.4277        0.0354
                        sinc                4        6.2273        0.1828
                        sincl               1       19.2762        <.0001

                            Analysis of Maximum Likelihood Estimates

                                                  Standard          Wald
          Parameter             DF    Estimate       Error    Chi-Square    Pr > ChiSq

          Intercept              1     -3.8611      0.0850     2065.7619        <.0001
          agegrp        1        1    0.000812      0.1172        0.0000        0.9945
          agegrp        2        1     -0.5036      0.1280       15.4867        <.0001
          agegrp        3        1     -0.0610      0.1094        0.3105        0.5774
          agegrp        4        1     -0.2188      0.1018        4.6226        0.0316
          agegrp        5        1     -0.3503      0.0976       12.8870        0.0003

                                                             22:24 Thursday, December 9, 2004 344

                                     The LOGISTIC Procedure

                            Analysis of Maximum Likelihood Estimates

                                                  Standard          Wald
          Parameter             DF    Estimate       Error    Chi-Square    Pr > ChiSq

          agegrp        6        1     -0.0559      0.0852        0.4305        0.5118
          agegrp        7        1     -0.0460      0.0859        0.2867        0.5923
          agegrp        8        1     -0.1751      0.0843        4.3172        0.0377
          agegrp        9        1      0.0735      0.0875        0.7058        0.4008
          agegrp        10       1      0.2552      0.0858        8.8415        0.0029
          agegrp        11       1      0.2186      0.0921        5.6335        0.0176
          agegrp        12       1      0.3678      0.0942       15.2565        <.0001
          gender        F        1      0.0540      0.0164       10.8204        0.0010
          agegrp*gender 1  F     1      0.2665      0.0727       13.4453        0.0002
          agegrp*gender 2  F     1      0.1458      0.0722        4.0757        0.0435
          agegrp*gender 3  F     1      0.0829      0.0619        1.7969        0.1801
          agegrp*gender 4  F     1      0.0904      0.0589        2.3562        0.1248
          agegrp*gender 5  F     1      0.1894      0.0580       10.6649        0.0011
          agegrp*gender 6  F     1      0.0516      0.0508        1.0344        0.3091
          agegrp*gender 7  F     1     -0.0283      0.0508        0.3088        0.5784
          agegrp*gender 8  F     1     -0.0200      0.0494        0.1633        0.6861
          agegrp*gender 9  F     1     -0.0278      0.0511        0.2965        0.5861
          agegrp*gender 10 F     1     -0.0491      0.0489        1.0051        0.3161
          agegrp*gender 11 F     1     -0.1267      0.0513        6.1071        0.0135
          agegrp*gender 12 F     1     -0.2306      0.0526       19.2544        <.0001
          sincl*agegrp  1        1     -0.0268     0.00715       14.0226        0.0002
          sincl*agegrp  2        1     0.00459     0.00632        0.5279        0.4675
          sincl*agegrp  3        1    -0.00794     0.00582        1.8582        0.1728
          sincl*agegrp  4        1    -0.00698     0.00559        1.5609        0.2115
          sincl*agegrp  5        1    -0.00111     0.00532        0.0435        0.8347
          sincl*agegrp  6        1    0.000302     0.00475        0.0040        0.9494
          sincl*agegrp  7        1     0.00421     0.00483        0.7578        0.3840
          sincl*agegrp  8        1      0.0108     0.00456        5.6280        0.0177
          sincl*agegrp  9        1     0.00133     0.00496        0.0722        0.7882
          sincl*agegrp  10       1     0.00347     0.00464        0.5596        0.4544
          sincl*agegrp  11       1     0.00504     0.00493        1.0457        0.3065
          sincl*agegrp  12       1     0.00459     0.00506        0.8246        0.3638
          sacc                   1      0.0504      0.0240        4.4277        0.0354
          sinc          1        1     -0.0971      0.0725        1.7945        0.1804
          sinc          2        1     -0.0779      0.0492        2.5034        0.1136
          sinc          3        1      0.0214      0.0317        0.4555        0.4997
          sinc          4        1     -0.0124      0.0418        0.0876        0.7673
          sincl                  1     -0.0222     0.00505       19.2762        <.0001

                                                             22:24 Thursday, December 9, 2004 345

                                     The LOGISTIC Procedure

                                      Odds Ratio Estimates

                                             Point          95% Wald
                       Effect             Estimate      Confidence Limits

                       sacc                  1.052       1.003       1.102
                       sinc   1 vs 5         0.769       0.564       1.049
                       sinc   2 vs 5         0.784       0.604       1.017
                       sinc   3 vs 5         0.865       0.707       1.059
                       sinc   4 vs 5         0.837       0.716       0.977

                  Association of Predicted Probabilities and Observed Responses

                     Percent Concordant          54.6    Somers' D    0.201
                     Percent Discordant          34.5    Gamma        0.226
                     Percent Tied                10.9    Tau-a        0.006
                     Pairs                 1157126964    c            0.601

                                                             22:24 Thursday, December 9, 2004 346

                                     The LOGISTIC Procedure

                                        Model Information

       Data Set                       WORK.NEW
       Response Variable (Events)     AyrA_num             number of respondents
       Response Variable (Trials)     npop                 2001 census population estimate
       Number of Observations         12473
       Model                          binary logit
       Optimization Technique         Fisher's scoring

                                         Response Profile

                                Ordered     Binary           Total
                                  Value     Outcome      Frequency

                                      1     Event             4165
                                      2     Nonevent      277821.6

                                     Class Level Information

                                                  Design Variables

     Class     Value     1     2     3     4     5     6     7     8     9    10    11    12

     agegrp    1         1     0     0     0     0     0     0     0     0     0     0     0
               2         0     1     0     0     0     0     0     0     0     0     0     0
               3         0     0     1     0     0     0     0     0     0     0     0     0
               4         0     0     0     1     0     0     0     0     0     0     0     0
               5         0     0     0     0     1     0     0     0     0     0     0     0
               6         0     0     0     0     0     1     0     0     0     0     0     0
               7         0     0     0     0     0     0     1     0     0     0     0     0
               8         0     0     0     0     0     0     0     1     0     0     0     0
               9         0     0     0     0     0     0     0     0     1     0     0     0
               10        0     0     0     0     0     0     0     0     0     1     0     0
               11        0     0     0     0     0     0     0     0     0     0     1     0
               12        0     0     0     0     0     0     0     0     0     0     0     1
               13       -1    -1    -1    -1    -1    -1    -1    -1    -1    -1    -1    -1

     gender    F         1
               M        -1

                                    Model Convergence Status

                         Convergence criterion (GCONV=1E-8) satisfied.

                                                             22:24 Thursday, December 9, 2004 347

                                     The LOGISTIC Procedure

                                      Model Fit Statistics

                                                           Intercept
                                            Intercept         and
                             Criterion        Only        Covariates

                             AIC            43382.320      42880.576
                             SC             43392.870      43313.111
                             -2 Log L       43380.320      42798.576

                             Testing Global Null Hypothesis: BETA=0

                     Test                 Chi-Square       DF     Pr > ChiSq

                     Likelihood Ratio       581.7441       40         <.0001
                     Score                  593.1368       40         <.0001
                     Wald                   552.4290       40         <.0001

                                  Type III Analysis of Effects

                                                       Wald
                        Effect             DF    Chi-Square    Pr > ChiSq

                        agegrp             12       84.9707        <.0001
                        gender              1       10.8367        0.0010
                        agegrp*gender      12       91.8833        <.0001
                        sincl*agegrp       12       25.8876        0.0111
                        sacc                1        4.3234        0.0376
                        sinc                1        4.6818        0.0305
                        sinc2               1        1.4579        0.2273

                            Analysis of Maximum Likelihood Estimates

                                                  Standard          Wald
          Parameter             DF    Estimate       Error    Chi-Square    Pr > ChiSq

          Intercept              1     -4.0192      0.0406     9804.4730        <.0001
          agegrp        1        1     0.00789      0.1180        0.0045        0.9467
          agegrp        2        1     -0.5080      0.1288       15.5516        <.0001
          agegrp        3        1     -0.0617      0.1102        0.3137        0.5754
          agegrp        4        1     -0.2175      0.1025        4.5010        0.0339
          agegrp        5        1     -0.3495      0.0983       12.6564        0.0004
          agegrp        6        1     -0.0534      0.0857        0.3875        0.5336
          agegrp        7        1     -0.0433      0.0865        0.2511        0.6163
          agegrp        8        1     -0.1751      0.0848        4.2634        0.0389
          agegrp        9        1      0.0752      0.0882        0.7275        0.3937
          agegrp        10       1      0.2531      0.0864        8.5810        0.0034

                                                             22:24 Thursday, December 9, 2004 348

                                     The LOGISTIC Procedure

                            Analysis of Maximum Likelihood Estimates

                                                  Standard          Wald
          Parameter             DF    Estimate       Error    Chi-Square    Pr > ChiSq

          agegrp        11       1      0.2160      0.0928        5.4227        0.0199
          agegrp        12       1      0.3649      0.0948       14.8182        0.0001
          gender        F        1      0.0540      0.0164       10.8367        0.0010
          agegrp*gender 1  F     1      0.2666      0.0727       13.4572        0.0002
          agegrp*gender 2  F     1      0.1456      0.0722        4.0676        0.0437
          agegrp*gender 3  F     1      0.0834      0.0619        1.8184        0.1775
          agegrp*gender 4  F     1      0.0904      0.0589        2.3560        0.1248
          agegrp*gender 5  F     1      0.1896      0.0580       10.6976        0.0011
          agegrp*gender 6  F     1      0.0518      0.0508        1.0389        0.3081
          agegrp*gender 7  F     1     -0.0281      0.0508        0.3062        0.5800
          agegrp*gender 8  F     1     -0.0201      0.0494        0.1659        0.6837
          agegrp*gender 9  F     1     -0.0281      0.0511        0.3034        0.5818
          agegrp*gender 10 F     1     -0.0493      0.0489        1.0134        0.3141
          agegrp*gender 11 F     1     -0.1266      0.0513        6.0981        0.0135
          agegrp*gender 12 F     1     -0.2306      0.0526       19.2439        <.0001
          sincl*agegrp  1        1     -0.0272     0.00723       14.1308        0.0002
          sincl*agegrp  2        1     0.00492     0.00638        0.5952        0.4404
          sincl*agegrp  3        1    -0.00790     0.00589        1.8025        0.1794
          sincl*agegrp  4        1    -0.00707     0.00565        1.5663        0.2107
          sincl*agegrp  5        1    -0.00113     0.00537        0.0444        0.8331
          sincl*agegrp  6        1    0.000201     0.00480        0.0017        0.9667
          sincl*agegrp  7        1     0.00414     0.00488        0.7198        0.3962
          sincl*agegrp  8        1      0.0109     0.00461        5.5954        0.0180
          sincl*agegrp  9        1     0.00120     0.00502        0.0574        0.8107
          sincl*agegrp  10       1     0.00359     0.00469        0.5874        0.4434
          sincl*agegrp  11       1     0.00511     0.00498        1.0539        0.3046
          sincl*agegrp  12       1     0.00469     0.00511        0.8425        0.3587
          sacc                   1      0.0494      0.0238        4.3234        0.0376
          sinc                   1    -0.00965     0.00446        4.6818        0.0305
          sinc2                  1    -0.00013    0.000105        1.4579        0.2273

                                      Odds Ratio Estimates

                                             Point          95% Wald
                       Effect             Estimate      Confidence Limits

                       sacc                  1.051       1.003       1.101
                       sinc                  0.990       0.982       0.999
                       sinc2                 1.000       1.000       1.000

                                                             22:24 Thursday, December 9, 2004 349

                                     The LOGISTIC Procedure

                  Association of Predicted Probabilities and Observed Responses

                     Percent Concordant          54.5    Somers' D    0.202
                     Percent Discordant          34.3    Gamma        0.228
                     Percent Tied                11.1    Tau-a        0.006
                     Pairs                 1157126964    c            0.601

                                                             22:24 Thursday, December 9, 2004 350

                                     The LOGISTIC Procedure

                                        Model Information

       Data Set                       WORK.NEW
       Response Variable (Events)     AyrA_num             number of respondents
       Response Variable (Trials)     npop                 2001 census population estimate
       Number of Observations         12473
       Model                          binary logit
       Optimization Technique         Fisher's scoring

                                         Response Profile

                                Ordered     Binary           Total
                                  Value     Outcome      Frequency

                                      1     Event             4165
                                      2     Nonevent      277821.6

NOTE: 130 observations were deleted due to missing values for the response or explanatory
      variables.

                                     Class Level Information

                                                  Design Variables

     Class     Value     1     2     3     4     5     6     7     8     9    10    11    12

     agegrp    1         1     0     0     0     0     0     0     0     0     0     0     0
               2         0     1     0     0     0     0     0     0     0     0     0     0
               3         0     0     1     0     0     0     0     0     0     0     0     0
               4         0     0     0     1     0     0     0     0     0     0     0     0
               5         0     0     0     0     1     0     0     0     0     0     0     0
               6         0     0     0     0     0     1     0     0     0     0     0     0
               7         0     0     0     0     0     0     1     0     0     0     0     0
               8         0     0     0     0     0     0     0     1     0     0     0     0
               9         0     0     0     0     0     0     0     0     1     0     0     0
               10        0     0     0     0     0     0     0     0     0     1     0     0
               11        0     0     0     0     0     0     0     0     0     0     1     0
               12        0     0     0     0     0     0     0     0     0     0     0     1
               13       -1    -1    -1    -1    -1    -1    -1    -1    -1    -1    -1    -1

     gender    F         1
               M        -1

                                    Model Convergence Status

                         Convergence criterion (GCONV=1E-8) satisfied.

                                                             22:24 Thursday, December 9, 2004 351

                                     The LOGISTIC Procedure

                                      Model Fit Statistics

                                                           Intercept
                                            Intercept         and
                             Criterion        Only        Covariates

                             AIC            43382.320      42880.063
                             SC             43392.870      43302.048
                             -2 Log L       43380.320      42800.063

                             Testing Global Null Hypothesis: BETA=0

                     Test                 Chi-Square       DF     Pr > ChiSq

                     Likelihood Ratio       580.2574       39         <.0001
                     Score                  593.1310       39         <.0001
                     Wald                   553.9269       39         <.0001

                                  Type III Analysis of Effects

                                                       Wald
                        Effect             DF    Chi-Square    Pr > ChiSq

                        agegrp             12       86.7719        <.0001
                        gender              1       10.8543        0.0010
                        agegrp*gender      12       91.7986        <.0001
                        sinc*agegrp        12       25.8603        0.0112
                        sacc                1        3.9165        0.0478
                        sinc                1       82.8782        <.0001

                            Analysis of Maximum Likelihood Estimates

                                                  Standard          Wald
          Parameter             DF    Estimate       Error    Chi-Square    Pr > ChiSq

          Intercept              1     -3.9857      0.0296    18112.8045        <.0001
          agegrp        1        1    0.000578      0.1170        0.0000        0.9961
          agegrp        2        1     -0.5018      0.1275       15.4931        <.0001
          agegrp        3        1     -0.0605      0.1092        0.3067        0.5797
          agegrp        4        1     -0.2187      0.1016        4.6296        0.0314
          agegrp        5        1     -0.3505      0.0974       12.9403        0.0003
          agegrp        6        1     -0.0553      0.0850        0.4231        0.5154
          agegrp        7        1     -0.0456      0.0857        0.2832        0.5946
          agegrp        8        1     -0.1742      0.0841        4.2946        0.0382
          agegrp        9        1      0.0731      0.0874        0.6986        0.4033
          agegrp        10       1      0.2539      0.0857        8.7880        0.0030
          agegrp        11       1      0.2181      0.0919        5.6336        0.0176

                                                             22:24 Thursday, December 9, 2004 352

                                     The LOGISTIC Procedure

                            Analysis of Maximum Likelihood Estimates

                                                  Standard          Wald
          Parameter             DF    Estimate       Error    Chi-Square    Pr > ChiSq

          agegrp        12       1      0.3675      0.0939       15.3084        <.0001
          gender        F        1      0.0541      0.0164       10.8543        0.0010
          agegrp*gender 1  F     1      0.2666      0.0727       13.4552        0.0002
          agegrp*gender 2  F     1      0.1459      0.0722        4.0839        0.0433
          agegrp*gender 3  F     1      0.0832      0.0619        1.8075        0.1788
          agegrp*gender 4  F     1      0.0902      0.0589        2.3470        0.1255
          agegrp*gender 5  F     1      0.1895      0.0580       10.6821        0.0011
          agegrp*gender 6  F     1      0.0516      0.0508        1.0328        0.3095
          agegrp*gender 7  F     1     -0.0284      0.0508        0.3114        0.5768
          agegrp*gender 8  F     1     -0.0201      0.0494        0.1660        0.6837
          agegrp*gender 9  F     1     -0.0278      0.0511        0.2971        0.5857
          agegrp*gender 10 F     1     -0.0492      0.0489        1.0109        0.3147
          agegrp*gender 11 F     1     -0.1265      0.0513        6.0936        0.0136
          agegrp*gender 12 F     1     -0.2304      0.0526       19.2240        <.0001
          sinc*agegrp   1        1     -0.0267     0.00714       13.9919        0.0002
          sinc*agegrp   2        1     0.00452     0.00628        0.5178        0.4718
          sinc*agegrp   3        1    -0.00795     0.00581        1.8729        0.1711
          sinc*agegrp   4        1    -0.00697     0.00558        1.5623        0.2113
          sinc*agegrp   5        1    -0.00108     0.00531        0.0417        0.8383
          sinc*agegrp   6        1    0.000259     0.00474        0.0030        0.9564
          sinc*agegrp   7        1     0.00423     0.00482        0.7716        0.3797
          sinc*agegrp   8        1      0.0108     0.00455        5.6145        0.0178
          sinc*agegrp   9        1     0.00133     0.00496        0.0720        0.7884
          sinc*agegrp   10       1     0.00354     0.00463        0.5864        0.4438
          sinc*agegrp   11       1     0.00503     0.00492        1.0470        0.3062
          sinc*agegrp   12       1     0.00457     0.00504        0.8204        0.3651
          sacc                   1      0.0469      0.0237        3.9165        0.0478
          sinc                   1     -0.0147     0.00161       82.8782        <.0001

                                      Odds Ratio Estimates

                                             Point          95% Wald
                       Effect             Estimate      Confidence Limits

                       sacc                  1.048       1.000       1.098

                  Association of Predicted Probabilities and Observed Responses

                     Percent Concordant          54.6    Somers' D    0.203
                     Percent Discordant          34.3    Gamma        0.228
                     Percent Tied                11.0    Tau-a        0.006
                     Pairs                 1157126964    c            0.601

                                                             22:24 Thursday, December 9, 2004 353

                                     The LOGISTIC Procedure

                                        Model Information

       Data Set                       WORK.NEW
       Response Variable (Events)     AyrA_num             number of respondents
       Response Variable (Trials)     npop                 2001 census population estimate
       Number of Observations         12473
       Model                          binary logit
       Optimization Technique         Fisher's scoring

                                         Response Profile

                                Ordered     Binary           Total
                                  Value     Outcome      Frequency

                                      1     Event             4165
                                      2     Nonevent      277821.6

NOTE: 130 observations were deleted due to missing values for the response or explanatory
      variables.

                                    Class Level Information

                                                        Design
                                                      Variables

                                 Class      Value             1

                                 gender     F                 1
                                            M                -1

                                    Model Convergence Status

                         Convergence criterion (GCONV=1E-8) satisfied.

                                      Model Fit Statistics

                                                           Intercept
                                            Intercept         and
                             Criterion        Only        Covariates

                             AIC            43382.320      42861.844
                             SC             43392.870      42967.340
                             -2 Log L       43380.320      42841.844

                                                             22:24 Thursday, December 9, 2004 354

                                     The LOGISTIC Procedure

                             Testing Global Null Hypothesis: BETA=0

                     Test                 Chi-Square       DF     Pr > ChiSq

                     Likelihood Ratio       538.4764        9         <.0001
                     Score                  548.2016        9         <.0001
                     Wald                   518.4962        9         <.0001

                                  Type III Analysis of Effects

                                                          Wald
                    Effect                    DF    Chi-Square    Pr > ChiSq

                    agegrp                     1        2.5496        0.1103
                    gender                     1       12.3434        0.0004
                    agegrp*gender              1        0.0416        0.8383
                    agegrp*sinc                1        6.3632        0.0117
                    agegrp*agegrp              1       12.1040        0.0005
                    agegrp*agegrp*gender       1        3.4656        0.0627
                    agegrp*agegrp*sinc         1        3.1579        0.0756
                    sacc                       1        3.8584        0.0495
                    sinc                       1       28.3070        <.0001

                            Analysis of Maximum Likelihood Estimates

                                                    Standard          Wald
        Parameter                 DF    Estimate       Error    Chi-Square    Pr > ChiSq

        Intercept                  1     -4.1032      0.1161     1248.0524        <.0001
        agegrp                     1     -0.0552      0.0346        2.5496        0.1103
        gender               F     1      0.2400      0.0683       12.3434        0.0004
        agegrp*gender        F     1    -0.00413      0.0203        0.0416        0.8383
        agegrp*sinc                1     0.00484     0.00192        6.3632        0.0117
        agegrp*agegrp              1     0.00806     0.00232       12.1040        0.0005
        agegrp*agegrp*gender F     1    -0.00251     0.00135        3.4656        0.0627
        agegrp*agegrp*sinc         1    -0.00023    0.000128        3.1579        0.0756
        sacc                       1      0.0465      0.0237        3.8584        0.0495
        sinc                       1     -0.0343     0.00644       28.3070        <.0001

                                      Odds Ratio Estimates

                                            Point          95% Wald
                        Effect           Estimate      Confidence Limits

                        sacc                1.048       1.000       1.097

                                                             22:24 Thursday, December 9, 2004 355

                                     The LOGISTIC Procedure

                  Association of Predicted Probabilities and Observed Responses

                     Percent Concordant          54.1    Somers' D    0.195
                     Percent Discordant          34.6    Gamma        0.220
                     Percent Tied                11.3    Tau-a        0.006
                     Pairs                 1157126964    c            0.597

                                                             22:24 Thursday, December 9, 2004 356

                                       The MEANS Procedure

            Variable            Mean         Maximum         Minimum             Sum
            ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ
            avweight       1.0033002       5.2458383       0.3725794         4178.75
            gweight       67.6898140     353.9218092      25.1368709       281928.08
            ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ