EXHIBIT A

 |_* movies=number of movies seen per year
 |_* faminc=family income
 |_* price=typical price paid for movie admission
 |_* popcorn=typical price paid for small popcorn

 |_sample 1 30
 |_read(mov1.dat) movies faminc price popcorn
 
 |_stat / pcor

 NAME        N   MEAN        ST. DEV      VARIANCE     MINIMUM      MAXIMUM
 MOVIES      30   4.2224       4.2631       18.174      0.00000       16.178
 FAMINC      30   4.7333       2.3183       5.3747       1.0000       8.0000
 PRICE       30   6.8167      0.44978      0.20230       6.0000       7.7500
 POPCORN     30   2.2150      0.30742      0.94509E-01   1.7500       2.7500
 
  CORRELATION MATRIX OF VARIABLES -       30 OBSERVATIONS
 
 MOVIES     1.0000
 FAMINC    0.54199       1.0000
 PRICE     0.32067      0.19125       1.0000
 POPCORN  -0.45858     -0.64349E-01 -0.85227       1.0000
              MOVIES       FAMINC       PRICE        POPCORN

REGRESSION A1

 |_ols movies price
 
 REQUIRED MEMORY IS PAR=    3 CURRENT PAR=  500
  OLS ESTIMATION
       30 OBSERVATIONS     DEPENDENT VARIABLE = MOVIES
 ...NOTE..SAMPLE RANGE SET TO:    1,   30
 
  R-SQUARE =   0.1028     R-SQUARE ADJUSTED =   0.0708
 VARIANCE OF THE ESTIMATE-SIGMA**2 =   16.887
 STANDARD ERROR OF THE ESTIMATE-SIGMA =   4.1094
 SUM OF SQUARED ERRORS-SSE=   472.84
 MEAN OF DEPENDENT VARIABLE =   4.2224
 LOG OF THE LIKELIHOOD FUNCTION = -83.9317
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        54.197          1.        54.197                 3.209
 ERROR             472.84         28.        16.887
 TOTAL             527.04         29.        18.174
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        589.06          2.        294.53                17.441
 ERROR             472.84         28.        16.887
 TOTAL             1061.9         30.        35.397
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      28 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 PRICE      3.0394      1.697       1.791     0.958 0.321     0.3207     4.9068
 CONSTANT  -16.496      11.59      -1.423     0.083-0.260     0.0000    -3.9068

REGRESSION A2

 |_ols movies faminc price popcorn / auxrsqr resid=e
 
 REQUIRED MEMORY IS PAR=    3 CURRENT PAR=  500
  OLS ESTIMATION
       30 OBSERVATIONS     DEPENDENT VARIABLE = MOVIES
 ...NOTE..SAMPLE RANGE SET TO:    1,   30
 R-SQUARE OF FAMINC   ON OTHER INDEPENDENT VARIABLES =   0.0721
 R-SQUARE OF PRICE    ON OTHER INDEPENDENT VARIABLES =   0.7451
 R-SQUARE OF POPCORN  ON OTHER INDEPENDENT VARIABLES =   0.7365
 R-SQUARE OF CONSTANT ON OTHER INDEPENDENT VARIABLES =   0.0000
 
  R-SQUARE =   0.5513     R-SQUARE ADJUSTED =   0.4995
 VARIANCE OF THE ESTIMATE-SIGMA**2 =   9.0955
 STANDARD ERROR OF THE ESTIMATE-SIGMA =   3.0159
 SUM OF SQUARED ERRORS-SSE=   236.48
 MEAN OF DEPENDENT VARIABLE =   4.2224
 LOG OF THE LIKELIHOOD FUNCTION = -73.5384
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        290.56          3.        96.852                10.648
 ERROR             236.48         26.        9.0955
 TOTAL             527.04         29.        18.174
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        825.42          4.        206.36                22.688
 ERROR             236.48         26.        9.0955
 TOTAL             1061.9         30.        35.397
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      26 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 FAMINC     1.0850     0.2508       4.326     1.000 0.647     0.5900     1.2162
 PRICE     -5.2181      2.466      -2.116     0.022-0.383    -0.5505    -8.4241
 POPCORN   -12.339      3.549      -3.477     0.001-0.563    -0.8898    -6.4729
 CONSTANT   61.988      23.64       2.623     0.993 0.457     0.0000    14.6808

 |_genr e2=e*e
  

REGRESSION A3

 |_ols e2 faminc price popcorn / auxrsqr
 
 REQUIRED MEMORY IS PAR=    4 CURRENT PAR=  500
  OLS ESTIMATION
       30 OBSERVATIONS     DEPENDENT VARIABLE = E2
 ...NOTE..SAMPLE RANGE SET TO:    1,   30
 R-SQUARE OF FAMINC   ON OTHER INDEPENDENT VARIABLES =   0.0721
 R-SQUARE OF PRICE    ON OTHER INDEPENDENT VARIABLES =   0.7451
 R-SQUARE OF POPCORN  ON OTHER INDEPENDENT VARIABLES =   0.7365
 R-SQUARE OF CONSTANT ON OTHER INDEPENDENT VARIABLES =   0.0000
 
  R-SQUARE =   0.1617     R-SQUARE ADJUSTED =   0.0649
 VARIANCE OF THE ESTIMATE-SIGMA**2 =   152.15
 STANDARD ERROR OF THE ESTIMATE-SIGMA =   12.335
 SUM OF SQUARED ERRORS-SSE=   3956.0
 MEAN OF DEPENDENT VARIABLE =   7.8828
 LOG OF THE LIKELIHOOD FUNCTION = -115.795
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        762.94          3.        254.31                 1.671
 ERROR             3956.0         26.        152.15
 TOTAL             4718.9         29.        162.72
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        2627.1          4.        656.77                 4.317
 ERROR             3956.0         26.        152.15
 TOTAL             6583.1         30.        219.44
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      26 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 FAMINC     2.1577      1.026       2.104     0.977 0.381     0.3921     1.2956
 PRICE     -12.026      10.09      -1.192     0.122-0.228    -0.4240   -10.3997
 POPCORN   -16.793      14.51      -1.157     0.129-0.221    -0.4047    -4.7187
 CONSTANT   116.84      96.67       1.209     0.881 0.231     0.0000    14.8228

 |_genr wta=1/faminc

REGRESSION A4

 |_ols movies faminc price popcorn / weight=wta
 
 REQUIRED MEMORY IS PAR=    4 CURRENT PAR=  500
  OLS ESTIMATION
       30 OBSERVATIONS     DEPENDENT VARIABLE = MOVIES
 ...NOTE..SAMPLE RANGE SET TO:    1,   30
 SUM OF LOG(SQRT(ABS(WEIGHT)))  =  -3.4541
 
  R-SQUARE =   0.4948     R-SQUARE ADJUSTED =   0.4365
 VARIANCE OF THE ESTIMATE-SIGMA**2 =   5.7994
 STANDARD ERROR OF THE ESTIMATE-SIGMA =   2.4082
 SUM OF SQUARED ERRORS-SSE=   150.78
 MEAN OF DEPENDENT VARIABLE =   2.9921
 LOG OF THE LIKELIHOOD FUNCTION = -70.2420
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        147.68          3.        49.227                 8.488
 ERROR             150.78         26.        5.7994
 TOTAL             298.47         29.        10.292
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        416.25          4.        104.06                17.944
 ERROR             150.78         26.        5.7994
 TOTAL             567.04         30.        18.901
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      26 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 FAMINC    0.89483     0.2129       4.204     1.000 0.636     0.6282     0.9575
 PRICE     -3.5922      2.081      -1.726     0.048-0.321    -0.5107    -8.0930
 POPCORN   -8.4195      3.106      -2.710     0.006-0.469    -0.7799    -6.2770
 CONSTANT   43.123      20.15       2.140     0.979 0.387     0.0000    14.4125

 |_genr wtb=1/popcorn

REGRESSION A5

 |_ols movies faminc price popcorn / weight=wtb
 
 REQUIRED MEMORY IS PAR=    5 CURRENT PAR=  500
  OLS ESTIMATION
       30 OBSERVATIONS     DEPENDENT VARIABLE = MOVIES
 ...NOTE..SAMPLE RANGE SET TO:    1,   30
 SUM OF LOG(SQRT(ABS(WEIGHT)))  = -0.13968
 
  R-SQUARE =   0.5647     R-SQUARE ADJUSTED =   0.5145
 VARIANCE OF THE ESTIMATE-SIGMA**2 =   9.1909
 STANDARD ERROR OF THE ESTIMATE-SIGMA =   3.0317
 SUM OF SQUARED ERRORS-SSE=   238.96
 MEAN OF DEPENDENT VARIABLE =   4.4895
 LOG OF THE LIKELIHOOD FUNCTION = -73.8346
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        310.00          3.        103.33                11.243
 ERROR             238.96         26.        9.1909
 TOTAL             548.97         29.        18.930
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        914.66          4.        228.66                24.879
 ERROR             238.96         26.        9.1909
 TOTAL             1153.6         30.        38.454
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      26 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 FAMINC     1.1333     0.2498       4.537     1.000 0.665     0.6084     1.2000
 PRICE     -5.1078      2.542      -2.009     0.027-0.367    -0.5178    -7.8133
 POPCORN   -12.311      3.639      -3.383     0.001-0.553    -0.8582    -5.9620
 CONSTANT   60.946      24.34       2.504     0.991 0.441     0.0000    13.5753

  
 |_genr lmovies=log(movies)
 ...WARNING...ILLEGAL LOG  IN OBS.    6, VALUE REPLACED BY ZERO    0.00000
 ...WARNING...ILLEGAL LOG  IN OBS.   10, VALUE REPLACED BY ZERO    0.00000
 ...WARNING...ILLEGAL LOG  IN OBS.   11, VALUE REPLACED BY ZERO    0.00000
 ...WARNING...ILLEGAL LOG  IN OBS.   14, VALUE REPLACED BY ZERO    0.00000
 |_genr lprice=log(price)
 |_genr lfaminc=log(faminc)
 |_genr lpopcorn=log(popcorn)

REGRESSION A6

 |_ols movies lprice lfaminc lpopcorn / linlog
 
 REQUIRED MEMORY IS PAR=    5 CURRENT PAR=  500
  OLS ESTIMATION
       30 OBSERVATIONS     DEPENDENT VARIABLE = MOVIES
 ...NOTE..SAMPLE RANGE SET TO:    1,   30
 
  R-SQUARE =   0.4915     R-SQUARE ADJUSTED =   0.4328
 VARIANCE OF THE ESTIMATE-SIGMA**2 =   10.308
 STANDARD ERROR OF THE ESTIMATE-SIGMA =   3.2106
 SUM OF SQUARED ERRORS-SSE=   268.01
 MEAN OF DEPENDENT VARIABLE =   4.2224
 LOG OF THE LIKELIHOOD FUNCTION = -75.4154
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        259.03          3.        86.344                 8.376
 ERROR             268.01         26.        10.308
 TOTAL             527.04         29.        18.174
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        793.90          4.        198.47                19.254
 ERROR             268.01         26.        10.308
 TOTAL             1061.9         30.        35.397
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      26 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 LPRICE    -35.554      17.43      -2.040     0.026-0.372    -0.5589    -8.4203
 LFAMINC    3.5206     0.9771       3.603     0.999 0.577     0.5268     0.8338
 LPOPCORN  -27.877      8.246      -3.381     0.001-0.553    -0.9090    -6.6021
 CONSTANT   89.389      38.73       2.308     0.985 0.412     0.0000    21.1702

REGRESSION A7

 |_ols lmovies lprice lfaminc lpopcorn / loglog
 
 REQUIRED MEMORY IS PAR=    5 CURRENT PAR=  500
  OLS ESTIMATION
       30 OBSERVATIONS     DEPENDENT VARIABLE = LMOVIES
 ...NOTE..SAMPLE RANGE SET TO:    1,   30
 
  R-SQUARE =   0.4758     R-SQUARE ADJUSTED =   0.4153
 VARIANCE OF THE ESTIMATE-SIGMA**2 =  0.66815
 STANDARD ERROR OF THE ESTIMATE-SIGMA =  0.81740
 SUM OF SQUARED ERRORS-SSE=   17.372
 MEAN OF DEPENDENT VARIABLE =  0.99886
 LOG OF THE LIKELIHOOD FUNCTION(IF DEPVAR LOG) = -64.3388
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        15.766          3.        5.2554                 7.866
 ERROR             17.372         26.       0.66815
 TOTAL             33.138         29.        1.1427
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        45.698          4.        11.425                17.099
 ERROR             17.372         26.       0.66815
 TOTAL             63.070         30.        2.1023
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      26 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 LPRICE    -10.472      4.436      -2.360     0.013-0.420    -0.6565   -10.4716
 LFAMINC   0.68590     0.2488       2.757     0.995 0.476     0.4093     0.6859
 LPOPCORN  -8.0844      2.099      -3.851     0.000-0.603    -1.0512    -8.0844
 CONSTANT   26.473      9.860       2.685     0.994 0.466     0.0000    26.4730

================================================================================

EXHIBIT B

 |_* data for monthly total trips to a fictitious amusement park
 |_* trips= thousands of visits per month
 |_* price= adult full-price admission
 |_* ur= unemployment rate (Mediterranean climate; little seasonal labor)
 |_* inc = median family income
 |_* rain = total inches of rain per month

 |_sample 1 60
 |_read(mickey.dat) month trips price ur inc rain

 |_genr summer=0
 |_if(month.eq.7) summer=1
 |_if(month.eq.8) summer=1

 |_stat / pcor
 NAME        N   MEAN        ST. DEV      VARIANCE     MINIMUM      MAXIMUM
 MONTH       60   6.5000       3.4812       12.119       1.0000       12.000
 TRIPS       60   30.300       2.8240       7.9751       26.028       37.163
 PRICE       60   21.270       4.6586       21.702       12.500       28.600
 UR          60   6.7583      0.36606      0.13400       6.1000       7.7000
 INC         60   29.520       1.4757       2.1776       26.900       31.600
 RAIN        60  0.67000      0.80450      0.64722      0.00000       3.0000
 SUMMER      60  0.16667      0.37582      0.14124      0.00000       1.0000
 
  CORRELATION MATRIX OF VARIABLES -       60 OBSERVATIONS
 
 MONTH      1.0000
 TRIPS     0.93133E-01   1.0000
 PRICE     0.20955     -0.74740       1.0000
 UR        0.41432     -0.32886      0.55803       1.0000
 INC       0.16233     -0.76037      0.98714      0.54126       1.0000
 RAIN     -0.45753     -0.35106     -0.16635     -0.20460     -0.11756
            1.0000
 SUMMER    0.12955      0.47916      0.35819E-01  0.75974E-01  0.36674E-01
          -0.36998       1.0000
              MONTH        TRIPS        PRICE        UR           INC
              RAIN         SUMMER

 |_genr ur2=ur*ur

REGRESSION B1

 |_ols trips price ur inc rain summer / auxrsqr resid=e
 
 REQUIRED MEMORY IS PAR=    9 CURRENT PAR=  500
  OLS ESTIMATION
       60 OBSERVATIONS     DEPENDENT VARIABLE = TRIPS
 ...NOTE..SAMPLE RANGE SET TO:    1,   60
 R-SQUARE OF PRICE    ON OTHER INDEPENDENT VARIABLES =   0.9778
 R-SQUARE OF UR       ON OTHER INDEPENDENT VARIABLES =   0.3254
 R-SQUARE OF INC      ON OTHER INDEPENDENT VARIABLES =   0.9771
 R-SQUARE OF RAIN     ON OTHER INDEPENDENT VARIABLES =   0.2553
 R-SQUARE OF SUMMER   ON OTHER INDEPENDENT VARIABLES =   0.1532
 R-SQUARE OF CONSTANT ON OTHER INDEPENDENT VARIABLES =   0.0000
 
  R-SQUARE =   0.9189     R-SQUARE ADJUSTED =   0.9114
 VARIANCE OF THE ESTIMATE-SIGMA**2 =  0.70677
 STANDARD ERROR OF THE ESTIMATE-SIGMA =  0.84069
 SUM OF SQUARED ERRORS-SSE=   38.165
 MEAN OF DEPENDENT VARIABLE =   30.300
 LOG OF THE LIKELIHOOD FUNCTION = -71.5639
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        432.37          5.        86.473               122.351
 ERROR             38.165         54.       0.70677
 TOTAL             470.53         59.        7.9751
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        55518.          6.        9252.9             13091.928
 ERROR             38.165         54.       0.70677
 TOTAL             55556.         60.        925.93
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      54 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 PRICE    -0.33195     0.1578      -2.103     0.020-0.275    -0.5476    -0.2330
 UR        0.30668     0.3640      0.8425     0.798 0.114     0.0398     0.0684
 INC      -0.56221     0.4904      -1.146     0.128-0.154    -0.2938    -0.5477
 RAIN      -1.1434     0.1576      -7.253     0.000-0.702    -0.3257    -0.0253
 SUMMER     2.9006     0.3165       9.166     1.000 0.780     0.3860     0.0160
 CONSTANT   52.167      11.44       4.560     1.000 0.527     0.0000     1.7217
 
 |_genr sprice=summer*price
 |_genr sur=summer*ur
 |_genr sinc=summer*inc

REGRESSION B2

 |_ols trips price sprice ur sur inc sinc rain summer
 
 REQUIRED MEMORY IS PAR=   12 CURRENT PAR=  500
  OLS ESTIMATION
       60 OBSERVATIONS     DEPENDENT VARIABLE = TRIPS
 ...NOTE..SAMPLE RANGE SET TO:    1,   60
 
  R-SQUARE =   0.9208     R-SQUARE ADJUSTED =   0.9083
 VARIANCE OF THE ESTIMATE-SIGMA**2 =  0.73107
 STANDARD ERROR OF THE ESTIMATE-SIGMA =  0.85503
 SUM OF SQUARED ERRORS-SSE=   37.284
 MEAN OF DEPENDENT VARIABLE =   30.300
 LOG OF THE LIKELIHOOD FUNCTION = -70.8633
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        433.25          8.        54.156                74.078
 ERROR             37.284         51.       0.73107
 TOTAL             470.53         59.        7.9751
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        55519.          9.        6168.7              8437.955
 ERROR             37.284         51.       0.73107
 TOTAL             55556.         60.        925.93
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      51 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 PRICE    -0.37957     0.1719      -2.208     0.016-0.295    -0.6261    -0.2664
 SPRICE    0.46697E-01 0.6658      0.7013E-01 0.528 0.010     0.1378     0.0056
 UR        0.45620     0.3950       1.155     0.873 0.160     0.0591     0.1018
 SUR       -1.3360      1.519     -0.8794     0.192-0.122    -1.2139    -0.0501
 INC      -0.42978     0.5342     -0.8045     0.212-0.112    -0.2246    -0.4187
 SINC     -0.40078E-02  2.109     -0.1900E-02 0.499 0.000    -0.0158    -0.0007
 RAIN      -1.1480     0.1610      -7.128     0.000-0.706    -0.3270    -0.0254
 SUMMER     11.108      42.68      0.2602     0.602 0.036     1.4782     0.0611
 CONSTANT   48.265      12.66       3.813     1.000 0.471     0.0000     1.5929

 |_test
 |_test sprice=0
 |_test sur=0
 |_test sinc=0
 |_test summer=0
 |_end

 F STATISTIC =   20.604718     WITH    4 AND   51 D.F.  P-VALUE= 0.00000
 WALD CHI-SQUARE STATISTIC =   82.418869     WITH    4 D.F.  P-VALUE= 0.00000
 UPPER BOUND ON P-VALUE BY CHEBYCHEV INEQUALITY = 0.04853

 |_sample 2 60
 |_genr elag=lag(e)
 
 |_plot e elag
 
 REQUIRED MEMORY IS PAR=    6 CURRENT PAR=  500
 FOR MAXIMUM EFFICIENCY USE AT LEAST PAR=     7
        59 OBSERVATIONS
                    *=E
                    M=MULTIPLE POINT
    2.0000        |
    1.7895        |                          *
    1.5789        |                         *
    1.3684        |                     *
    1.1579        |               M         *
   0.94737        |                 *                 *
   0.73684        |                *              *
   0.52632        |                 *  *        *  *
   0.31579        |         *    *       *        *
   0.10526        |        *    *     **  *      *   *
  -0.10526        |   *          ** ***                 *
  -0.31579        |*           *   * *    M  *
  -0.52632        |         * *  *       *     *
  -0.73684        |        *  * *   **
  -0.94737        |                  ***
   -1.1579        |                   **  *
   -1.3684        |                          *
   -1.5789        |
   -1.7895        |   *       *
   -2.0000        |                      *
                   ________________________________________
 
              -2.000    -1.000     0.000     1.000     2.000
 
                                ELAG
 |_sample 1 60

REGRESSION B3

 |_ols trips price ur ur2 inc rain summer / auxrsqr exactdw resid=e
 
 REQUIRED MEMORY IS PAR=   39 CURRENT PAR=  500
  OLS ESTIMATION
       60 OBSERVATIONS     DEPENDENT VARIABLE = TRIPS
 ...NOTE..SAMPLE RANGE SET TO:    1,   60
 
 DURBIN-WATSON STATISTIC  =   1.60915
 
 DURBIN-WATSON PROBABILITY =    0.016446
 R-SQUARE OF PRICE    ON OTHER INDEPENDENT VARIABLES =   0.9784
 R-SQUARE OF UR       ON OTHER INDEPENDENT VARIABLES =   0.9988
 R-SQUARE OF UR2      ON OTHER INDEPENDENT VARIABLES =   0.9988
 R-SQUARE OF INC      ON OTHER INDEPENDENT VARIABLES =   0.9776
 R-SQUARE OF RAIN     ON OTHER INDEPENDENT VARIABLES =   0.2583
 R-SQUARE OF SUMMER   ON OTHER INDEPENDENT VARIABLES =   0.1717
 R-SQUARE OF CONSTANT ON OTHER INDEPENDENT VARIABLES =   0.0000
 
  R-SQUARE =   0.9247     R-SQUARE ADJUSTED =   0.9162
 VARIANCE OF THE ESTIMATE-SIGMA**2 =  0.66870
 STANDARD ERROR OF THE ESTIMATE-SIGMA =  0.81774
 SUM OF SQUARED ERRORS-SSE=   35.441
 MEAN OF DEPENDENT VARIABLE =   30.300
 LOG OF THE LIKELIHOOD FUNCTION = -69.3423
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        435.09          6.        72.515               108.441
 ERROR             35.441         53.       0.66870
 TOTAL             470.53         59.        7.9751
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        55520.          7.        7931.5             11860.962
 ERROR             35.441         53.       0.66870
 TOTAL             55556.         60.        925.93
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      53 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 PRICE    -0.28052     0.1556      -1.803     0.039-0.240    -0.4628    -0.1969
 UR         17.331      8.442       2.053     0.977 0.271     2.2465     3.8656
 UR2       -1.2507     0.6197      -2.018     0.024-0.267    -2.2145    -1.8908
 INC      -0.70769     0.4825      -1.467     0.074-0.198    -0.3698    -0.6895
 RAIN      -1.1632     0.1537      -7.570     0.000-0.721    -0.3314    -0.0257
 SUMMER     2.8077     0.3113       9.021     1.000 0.778     0.3736     0.0154
 CONSTANT  -2.3682      29.22     -0.8104E-01 0.468-0.011     0.0000    -0.0782

REGRESSION B4

 |_auto trips price ur ur2 inc rain summer
 
 REQUIRED MEMORY IS PAR=   12 CURRENT PAR=  500
 
 DEPENDENT VARIABLE =  TRIPS
 ..NOTE..R-SQUARE,ANOVA,RESIDUALS DONE ON ORIGINAL VARS
 
 LEAST SQUARES ESTIMATION             60 OBSERVATIONS
 BY COCHRANE-ORCUTT TYPE PROCEDURE WITH CONVERGENCE = 0.00100
 
     ITERATION          RHO               LOG L.F.            SSE
         1             0.00000        -69.3423              35.441
         2             0.19054        -67.7501              33.589
         3             0.27548        -67.4239              33.202
         4             0.31588        -67.3566              33.113
         5             0.33510        -67.3452              33.093
         6             0.34421        -67.3445              33.088
         7             0.34852        -67.3452              33.087
         8             0.35056        -67.3458              33.087
         9             0.35152        -67.3462              33.087
 
  LOG L.F. =   -67.3462       AT RHO =     0.35152
 
                     ASYMPTOTIC  ASYMPTOTIC  ASYMPTOTIC
           ESTIMATE    VARIANCE    ST.ERROR     T-RATIO
 RHO        0.35152     0.01461     0.12086     2.90849
 
  R-SQUARE =   0.9297     R-SQUARE ADJUSTED =   0.9217
 VARIANCE OF THE ESTIMATE-SIGMA**2 =  0.62428
 STANDARD ERROR OF THE ESTIMATE-SIGMA =  0.79012
 SUM OF SQUARED ERRORS-SSE=   33.087
 MEAN OF DEPENDENT VARIABLE =   30.300
 LOG OF THE LIKELIHOOD FUNCTION = -67.3462
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS
 REGRESSION        437.44          6.        72.907
 ERROR             33.087         53.       0.62428
 TOTAL             470.53         59.        7.9751
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS
 REGRESSION        55523.          7.        7931.8
 ERROR             33.087         53.       0.62428
 TOTAL             55556.         60.        925.93
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      53 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 PRICE    -0.52213     0.1612      -3.240     0.001-0.407    -0.8613    -0.3665
 UR         9.9848      10.68      0.9353     0.823 0.127     1.2943     2.2271
 UR2      -0.72510     0.7837     -0.9252     0.180-0.126    -1.2839    -1.0962
 INC       0.81693E-01 0.4934      0.1656     0.565 0.023     0.0427     0.0796
 RAIN      -1.2135     0.1656      -7.327     0.000-0.709    -0.3457    -0.0268
 SUMMER     2.7756     0.3083       9.003     1.000 0.778     0.3694     0.0153
 CONSTANT   5.0800      37.02      0.1372     0.554 0.019     0.0000     0.1677

================================================================================

EXHIBIT C

 |_sample 1 24

 |_* dur=duration in months of most recent completed mixed-gender romantic
 |_*     relationship
 |_* agedif=age of male-age of female in relationship
 |_* hours=average daily hours of waking time spent together
 |_* female=1 if respondent is female; 0 otherwise

REGRESSION C1

 |_ols dur agedif hours female / auxrsqr resid=e
 
 REQUIRED MEMORY IS PAR=    3 CURRENT PAR=  500
  OLS ESTIMATION
       24 OBSERVATIONS     DEPENDENT VARIABLE = DUR
 ...NOTE..SAMPLE RANGE SET TO:    1,   24
 R-SQUARE OF AGEDIF   ON OTHER INDEPENDENT VARIABLES =   0.5057
 R-SQUARE OF HOURS    ON OTHER INDEPENDENT VARIABLES =   0.5448
 R-SQUARE OF FEMALE   ON OTHER INDEPENDENT VARIABLES =   0.1329
 R-SQUARE OF CONSTANT ON OTHER INDEPENDENT VARIABLES =   0.0000
 
  R-SQUARE =   0.7457     R-SQUARE ADJUSTED =   0.7075
 VARIANCE OF THE ESTIMATE-SIGMA**2 =   37.821
 STANDARD ERROR OF THE ESTIMATE-SIGMA =   6.1498
 SUM OF SQUARED ERRORS-SSE=   756.41
 MEAN OF DEPENDENT VARIABLE =   13.354
 LOG OF THE LIKELIHOOD FUNCTION = -75.4609
 
                      ANALYSIS OF VARIANCE - FROM MEAN
                       SS         DF             MS                 F
 REGRESSION        2217.8          3.        739.28                19.547
 ERROR             756.41         20.        37.821
 TOTAL             2974.2         23.        129.31
 
                      ANALYSIS OF VARIANCE - FROM ZERO
                       SS         DF             MS                 F
 REGRESSION        6497.8          4.        1624.5                42.952
 ERROR             756.41         20.        37.821
 TOTAL             7254.3         24.        302.26
 
 
 VARIABLE   ESTIMATED  STANDARD   T-RATIO        PARTIAL STANDARDIZED ELASTICITY
   NAME    COEFFICIENT   ERROR      20 DF   P-VALUE CORR. COEFFICIENT  AT MEANS
 AGEDIF     1.2000     0.7530       1.594     0.937 0.336     0.2556     0.1535
 HOURS      2.3313     0.6207       3.756     0.999 0.643     0.6277     0.7638
 FEMALE     2.9104      2.706       1.076     0.853 0.234     0.1303     0.1181
 CONSTANT -0.47189      2.408     -0.1960     0.423-0.044     0.0000    -0.0353