SHAZAM
OUTPUT
*********************************************************************
Hello/Bonjour/Aloha/Howdy/G Day/Kia
Ora/Konnichiwa/Buenos Dias/Nee Hau/Ciao
Welcome to SHAZAM - Version 9.0 -
SEP+2002 SYSTEM=LINUX
PAR= 781
|_ set nowide
|_ set skipmiss
|_ *sex data coded: 1=female 0=male
|_ *live data coded: 1=
|_ *fewtrips data coded: 1=yes 0=no
|_ *newwal data coded: 1=yes 0=no
|_ *benefit data coded: 1=cheaper
2=convenience 3=job 4=other
|_ *problem data coded: 1=pollution
2=congestion 3=small business 4=other
|_ *otherwal data coded: 1=yes 2=no
|_ *homeshop data coded: 1=yes 2=no
|_ *manyshop data coded: 1=many stores
2=one stores
|_ sample 1 24
|_ read female age live fewtrips newwal
benefit problem otherwal drive homeshop manyshop work supstore supspend safeway
safspend
| zellers zelspend londond lonspend
shoppers shpspend walmart walspend
24 VARIABLES AND 24
OBSERVATIONS STARTING AT OBS 1
|_ genr livevan=(live.eq.1)
|_ genr liverich=(live.eq.2)
|_ genr livebrun=(live.eq.3)
|_ genr livesurr=(live.eq.4)
|_ genr livewest=(live.eq.5)
|_ sample 1 22
|_ stat
NAME
FEMALE 22 0.77273 0.42893 0.18398 0.0000 1.0000
AGE
22 22.364 2.7868 7.7662
20.000 32.000
LIVE
22 1.7273 1.2025 1.4459
1.0000 5.0000
FEWTRIPS 14 0.35714 0.49725 0.24725 0.0000 1.0000
NEWWAL 22 0.81818 0.39477 0.15584
0.0000 1.0000
BENEFIT 17 1.7059 0.91956 0.84559
1.0000 4.0000
PROBLEM 10 2.7000 0.67495 0.45556
2.0000 4.0000
OTHERWAL 22 0.90909E-01 0.29424 0.86580E-01 0.0000 1.0000
DRIVE
22 4.3182 2.7669 7.6558
0.0000 7.0000
HOMESHOP 22 0.86364 0.35125 0.12338
0.0000 1.0000
MANYSHOP 22 0.68182 0.47673 0.22727
0.0000 1.0000
WORK
22 7.0682 11.074 122.63
0.0000 45.000
SUPSTORE 22 2.1136 3.1620 9.9984
0.0000 15.000
SUPSPEND 21 85.238 112.68 12696. 0.0000 500.00
SAFEWAY 22 2.4091 2.9058 8.4437
0.0000 13.000
SAFSPEND 20 60.750 87.754 7700.7
0.0000 400.00
ZELLERS 22 0.45455 0.80043 0.64069
0.0000 3.0000
ZELSPEND 21 13.333 29.889 893.33
0.0000 100.00
LONDOND 22 2.3182 2.5333 6.4177
0.0000 10.000
LONSPEND 20 38.500 49.153 2416.1
0.0000 200.00
SHOPPERS 22 0.63636 1.1770 1.3853
0.0000 3.0000
SHPSPEND 21 13.143 30.124 907.43
0.0000 126.00
WALMART 22 1.2273 2.1587 4.6602
0.0000 10.000
WALSPEND 21 38.095 67.721 4586.2
0.0000
300.00
LIVEVAN 22 0.63636 0.49237 0.24242
0.0000 1.0000
LIVERICH 22 0.18182 0.39477 0.15584
0.0000 1.0000
LIVEBRUN 22 0.45455E-01 0.21320 0.45455E-01 0.0000 1.0000
LIVESURR 22 0.90909E-01 0.29424 0.86580E-01 0.0000 1.0000
LIVEWEST 22 0.45455E-01 0.21320 0.45455E-01 0.0000 1.0000
|_ stat walmart newwal otherwal/pfreq
NAME
WALMART 22 1.2273 2.1587 4.6602
0.0000 10.000
NEWWAL 22 0.81818 0.39477 0.15584
0.0000 1.0000
OTHERWAL 22 0.90909E-01 0.29424 0.86580E-01 0.0000 1.0000
VARIABLE = WALMART
VALUE
FREQUENCY
PERCENT CUMULATIVE REMAINING
0.0000000
10
0.45455
0.45455
0.54545
1.0000000
6
0.27273
0.72727
0.27273
2.0000000
4
0.18182
0.90909 0.09091
3.0000000
1
0.04545
0.95455
0.04545
10.000000
1
0.04545
1.00000
0.00000
MEDIAN = 1.0000
LOWER 25%= 0.0000 UPPER 25%= 2.0000
MODE = 0.0000 WITH 10
OBSERVATIONS
VARIABLE = NEWWAL
VALUE
FREQUENCY
PERCENT
CUMULATIVE REMAINING
0.0000000
4
0.18182
0.18182
0.81818
1.0000000
18
0.81818
1.00000 0.00000
MEDIAN = 1.0000
LOWER 25%= 1.0000 UPPER 25%= 1.0000 INTERQUARTILE
RANGE= 0.000
MODE = 1.0000 WITH 18
OBSERVATIONS
VARIABLE = OTHERWAL
VALUE
FREQUENCY
PERCENT
CUMULATIVE REMAINING
0.0000000
20
0.90909
0.90909
0.09091
1.0000000
2
0.09091
1.00000
0.00000
MEDIAN = 0.0000
LOWER 25%= 0.0000 UPPER 25%= 0.0000 INTERQUARTILE
RANGE= 0.000
MODE = 0.0000 WITH 20
OBSERVATIONS
|_ *predict how much will people spend on
the new Walmart per month assuming indeps: female, age, live, newwal, otherwal,
work, supspend safspend zelspend
|_ ols walspend female age livevan newwal
otherwal work supspend safspend zelspend/list
OBSERVATION 12 IS SKIPPED BECAUSE
SUPSPEND MISSING
OBSERVATION 8 IS SKIPPED
BECAUSE SAFSPEND MISSING
OBSERVATION 12 IS SKIPPED BECAUSE
SAFSPEND MISSING
OBSERVATION 12 IS SKIPPED BECAUSE
ZELSPEND MISSING
OBSERVATION 22 IS SKIPPED BECAUSE
WALSPEND MISSING
REQUIRED MEMORY IS PAR= 10 CURRENT
PAR= 781
OLS ESTIMATION
19
OBSERVATIONS
DEPENDENT VARIABLE= WALSPEND
...NOTE..SAMPLE RANGE SET TO: 1, 22
R-SQUARE = 0.9115 R-SQUARE ADJUSTED
= 0.8231
VARIANCE OF THE ESTIMATE-SIGMA**2 = 870.15
STANDARD ERROR OF THE ESTIMATE-SIGMA
= 29.498
SUM OF SQUARED ERRORS-SSE= 7831.3
MEAN OF DEPENDENT VARIABLE = 42.105
LOG OF THE LIKELIHOOD FUNCTION = -84.1636
MODEL SELECTION TESTS - SEE JUDGE ET AL.
(1985,P.242)
AKAIKE (1969) FINAL PREDICTION ERROR -
FPE =
1328.1
(FPE IS ALSO KNOWN AS
AMEMIYA PREDICTION CRITERION - PC)
AKAIKE (1973) INFORMATION CRITERION -
LOG AIC = 7.0741
SCHWARZ (1978) CRITERION - LOG SC =
7.5712
MODEL SELECTION TESTS - SEE RAMANATHAN
(1998,P.165)
CRAVEN-WAHBA (1979)
GENERALIZED CROSS
VALIDATION - GCV =
1837.0
HANNAN AND QUINN (1979) CRITERION =
1284.6
RICE (1984) CRITERION =
-7831.3
SHIBATA (1981) CRITERION =
846.04
SCHWARZ (1978) CRITERION - SC =
1941.4
AKAIKE (1974) INFORMATION CRITERION -
AIC =
1181.0
ANALYSIS OF VARIANCE - FROM MEAN
SS
DF
MS
F
REGRESSION
80684.
9.
8964.9
10.303
ERROR
7831.3
9.
870.15
P-VALUE
TOTAL
88516.
18.
4917.5
0.001
ANALYSIS OF VARIANCE - FROM ZERO
SS
DF
MS
F
REGRESSION
0.11437E+06
10.
11437.
13.144
ERROR
7831.3
9.
870.15
P-VALUE
TOTAL
0.12220E+06
19.
6431.6
0.000
VARIABLE ESTIMATED STANDARD T-RATIO
PARTIAL STANDARDIZED ELASTICITY
NAME COEFFICIENT ERROR 9 DF P-VALUE CORR. COEFFICIENT AT MEANS
FEMALE -20.798 31.97 -0.6505 0.532-0.212 -0.1111 -0.4160
AGE
-9.0988
5.290
-1.720
0.120-0.497
-0.3849 -4.8337
LIVEVAN 40.364 20.18 2.000 0.077 0.555 0.2920 0.5550
NEWWAL 15.134 24.82 0.6097 0.557 0.199 0.0809 0.3027
OTHERWAL -11.612 28.74 -0.4040 0.696-0.133 -0.0522 -0.0290
WORK
1.7301
0.9912
1.745
0.115 0.503
0.2884
0.3147
SUPSPEND 0.11019 0.1744 0.6319 0.543 0.206 0.1806 0.2466
SAFSPEND 0.48077 0.1348 3.565 0.006 0.765 0.6103 0.6581
ZELSPEND 0.25956 0.5106 0.5084 0.623 0.167 0.1153 0.0908
CONSTANT 173.09 136.9 1.264 0.238 0.388 0.0000 4.1109
OBS. OBSERVED PREDICTED CALCULATED
NO. VALUE
VALUE
RESIDUAL
1 50.000 47.867
2.1330
*
2 0.0000 6.1494 -6.1494
*I
3 20.000 62.794 -42.794
*
I
4 100.00 78.939
21.061
I *
5 0.0000 -4.2211
4.2211
I*
6 50.000 34.306
15.694
I *
7 0.0000 4.7353 -4.7353
*I
9 40.000 -0.59425
40.594
I
*
10 30.000
64.794
-34.794
* I
11 0.0000 -1.0387
1.0387
*
13 0.0000
6.2124
-6.2124
*I
14 0.0000 -4.7353
4.7353
I*
15 30.000
14.421
15.579
I *
16 100.00
66.198
33.802
I *
17 0.0000
20.315
-20.315
* I
18 30.000
49.591
-19.591
* I
19 50.000
51.774
-1.7745
*
20 300.00
293.54
6.4621
I*
21 0.0000
8.9564
-8.9564
* I
DURBIN-WATSON = 2.4923 VON NEUMANN RATIO =
2.6307 RHO = -0.25415
RESIDUAL SUM = 0.71054E-14 RESIDUAL VARIANCE = 870.15
SUM OF ABSOLUTE ERRORS= 290.64
R-SQUARE BETWEEN OBSERVED AND PREDICTED =
0.9115
RUNS TEST: 12 RUNS, 10 POS, 0 ZERO, 9 NEG NORMAL STATISTIC = 0.7227
COEFFICIENT OF SKEWNESS = -0.1008 WITH STANDARD DEVIATION OF
0.5238
COEFFICIENT OF EXCESS KURTOSIS = 0.3163 WITH STANDARD DEVIATION OF
1.0143
JARQUE-BERA NORMALITY TEST- CHI-SQUARE(2
DF)= 0.0301 P-VALUE=
0.985
GOODNESS OF FIT
TEST FOR NORMALITY OF RESIDUALS - 15 GROUPS
OBSERVED 0.0
0.0 0.0 1.0
1.0 2.0 3.0
6.0 3.0 1.0
2.0 0.0 0.0
0.0 0.0
EXPECTED 0.1
0.2 0.4 0.9
1.5 2.2 2.8
3.0 2.8 2.2
1.5 0.9 0.4
0.2 0.1
CHI-SQUARE = 6.2445 WITH 3 DEGREES OF FREEDOM, P-VALUE= 0.100
|_ fc/ beg=23 end=24 list
REQUIRED MEMORY IS PAR= 8 CURRENT
PAR= 781
DEPENDENT VARIABLE = WALSPEND
2 OBSERVATIONS
REGRESSION COEFFICIENTS
-20.7983215589
-9.09876889662
40.3643399792
15.1339973923
-11.6119301132
1.73009878511 0.110190946351 0.480772652342
0.259563534492
173.090898790
OBS. OBSERVED PREDICTED CALCULATED STD. ERROR
NO. VALUE
VALUE
RESIDUAL
23 0.0000
22.381
-22.381
49.383
*
I
24 0.0000
1.5828
-1.5828
41.592
*
SUM OF ABSOLUTE ERRORS= 23.964
R-SQUARE BETWEEN OBSERVED AND PREDICTED =
0.0000
MEAN ERROR = -11.982
SUM-SQUARED ERRORS = 503.42
MEAN SQUARE ERROR = 251.71
MEAN ABSOLUTE ERROR= 11.982
ROOT MEAN SQUARE ERROR = 15.865
MEAN SQUARED PERCENTAGE ERROR= 0.0000
THEIL INEQUALITY COEFFICIENT U = 0.000
DECOMPOSITION
PROPORTION DUE
TO BIAS = 0.57037
PROPORTION DUE
TO VARIANCE = 0.42963
PROPORTION DUE
TO COVARIANCE = 0.0000
DECOMPOSITION
PROPORTION DUE
TO BIAS = 0.57037
PROPORTION DUE
TO REGRESSION = 0.42963
PROPORTION DUE
TO DISTURBANCE = 0.0000
|_ *using Logit to predict the
probability that people agree to have the new Walmart
|_ logit newwal female age live work
drive manyshop/piter=0 list
REQUIRED MEMORY IS PAR= 9 CURRENT
PAR= 781
LOGIT ANALYSIS DEPENDENT VARIABLE
=NEWWAL CHOICES = 2
22. TOTAL
OBSERVATIONS
18.
OBSERVATIONS AT ONE
4.
OBSERVATIONS AT ZERO
25 MAXIMUM ITERATIONS
CONVERGENCE TOLERANCE =0.00100
LOG OF LIKELIHOOD WITH CONSTANT TERM ONLY
= -10.431
BINOMIAL ESTIMATE = 0.8182
ITERATION 5 LOG OF
LIKELIHOOD FUNCTION = -7.3663
ITERATION 5 ESTIMATES
2.2936 -0.49213E-01 -1.2420 0.15272 0.19482 0.29241
1.3856
ASYMPTOTIC
WEIGHTED
VARIABLE ESTIMATED STANDARD T-RATIO ELASTICITY AGGREGATE
NAME COEFFICIENT ERROR
AT MEANS
ELASTICITY
FEMALE
2.2936 1.7247
1.3298
0.20536
0.19107
AGE
-0.49213E-01 0.46543 -0.10574 -0.12753 -0.13465
LIVE
-1.2420
0.91756
-1.3536
-0.24858
-0.27805
WORK
0.15272
0.13552
1.1269
0.12508
0.87247E-01
DRIVE
0.19482
0.33869
0.57520
0.97477E-01 0.95815E-01
MANYSHOP 0.29241
1.5368
0.19027
0.23101E-01 0.22958E-01
CONSTANT
1.3856
10.776
0.12858
0.16055
0.16896
SCALE FACTOR = 0.10245
VARIABLE MARGINAL -----
PROBABILITIES FOR A TYPICAL CASE -----
NAME
EFFECT CASE X=0
X=1
MARGINAL
VALUES
EFFECT
FEMALE
0.23496 1.0000 0.58731 0.93379 0.34648
AGE
-0.50417E-02 22.364
LIVE
-0.12724 1.7273
WORK
0.15645E-01 7.0682
DRIVE
0.19958E-01 4.3182
MANYSHOP 0.29956E-01 1.0000 0.91325 0.93379 0.20537E-01
LOG-LIKELIHOOD FUNCTION = -7.3663
LOG-LIKELIHOOD(0) = -10.431
LIKELIHOOD RATIO TEST = 6.12947 WITH 6 D.F. P-VALUE= 0.40884
ESTRELLA R-SQUARE
0.28099
MADDALA R-SQUARE
0.24317
CRAGG-UHLER R-SQUARE
0.39695
MCFADDEN R-SQUARE
0.29381
ADJUSTED FOR
DEGREES OF FREEDOM
0.11332E-01
APPROXIMATELY
F-DISTRIBUTED
0.48539
WITH 6 AND 7 D.F.
CHOW R-SQUARE
0.29122
PREDICTION SUCCESS TABLE
ACTUAL
0
1
0
2.
1.
PREDICTED 1 2.
17.
NUMBER OF RIGHT PREDICTIONS = 19.0
PERCENTAGE OF RIGHT PREDICTIONS = 0.86364
NAIVE MODEL PERCENTAGE OF RIGHT
PREDICTIONS = 0.81818
EXPECTED OBSERVATIONS AT 0 =
4.0 OBSERVED = 4.0
EXPECTED OBSERVATIONS AT 1 =
18.0 OBSERVED = 18.0
SUM OF SQUARED "RESIDUALS"
=
2.3196
WEIGHTED SUM OF SQUARED
"RESIDUALS" =
16.694
HENSHER-JOHNSON PREDICTION SUCCESS TABLE
OBSERVED OBSERVED
PREDICTED CHOICE
COUNT
SHARE
ACTUAL
0
1
0
1.743
2.257
4.000
0.182
1
2.257
15.743
18.000
0.818
PREDICTED COUNT 4.000 18.000 22.000 1.000
PREDICTED SHARE
0.182
0.818
1.000
PROP. SUCCESSFUL
0.436
0.875
0.795
SUCCESS INDEX
0.254
0.056
0.092
PROPORTIONAL ERROR 0.000 0.000
NORMALIZED SUCCESS INDEX
0.310
OBS. OBSERVED PREDICTED CALCULATED
NO. VALUE
VALUE
INDEX
1 1.0000 0.95305
3.0106
I
* XI
2 1.0000 0.84805 1.7194 I
* XI
3 1.0000 0.88951
2.0857
I
* XI
4 1.0000 0.98767
4.3837
I
*XI
5 1.0000 0.70950 0.89296 I * XI
6 1.0000 0.99298
4.9519
I
*XI
7 1.0000 0.85348
1.7621
I
* XI
8 1.0000 0.35493 -0.59745 I
*
XI
9 1.0000 0.82832
1.5738
I
* XI
10 1.0000 0.94609
2.8650
I
* XI
11 1.0000 0.92529
2.5165
I
* XI
12 0.0000 0.85273
1.7562
IX
* I
13 1.0000 0.88529
2.0435
I
* XI
14 0.0000 0.11605 -2.0304 IX *
I
15 0.0000 0.86315
1.8417
IX
* I
16 1.0000 0.91512
2.3778
I
* XI
17 0.0000 0.42530 -0.30104 IX
*
I
18 1.0000 0.93725 2.7037 I
* XI
19 1.0000 0.95520
3.0598
I
* XI
20 1.0000 0.95576
3.0729
I
* XI
21 1.0000 0.96679
3.3713
I *XI
22 1.0000 0.83847
1.6469
I
* XI
DURBIN-WATSON = 1.9435 VON NEUMANN RATIO =
2.0360 RHO = 0.02240
RESIDUAL SUM = 0.84529E-08 RESIDUAL VARIANCE = 0.10544
SUM OF ABSOLUTE ERRORS= 4.5145
R-SQUARE BETWEEN OBSERVED AND PREDICTED =
0.2923
LOG-LIKELIHOOD FUNCTION = -7.366329
RUNS TEST: 7 RUNS, 18 POS, 0 ZERO, 4 NEG NORMAL STATISTIC = -0.4149
|_ fc/ beg=23 end=24 list
REQUIRED MEMORY IS PAR= 8 CURRENT
PAR= 781
DEPENDENT VARIABLE = NEWWAL
2 OBSERVATIONS
REGRESSION COEFFICIENTS
2.29356375395
-0.492132321724E-01
-1.24200589650
0.152719050167
0.194815762955
0.292409959459
1.38562757994
..WARNING FORECAST STD. ERRORS ONLY VALID
FOR OLS
OBS. OBSERVED PREDICTED CALCULATED STD. ERROR
NO. VALUE
VALUE
INDEX
23 0.0000 0.29114 -0.88986
0.000IX
*
24 0.0000 0.80277
1.4037 0.000IX
*
SUM OF ABSOLUTE ERRORS= 1.0939
R-SQUARE BETWEEN OBSERVED AND PREDICTED =
0.0000
LOG-LIKELIHOOD FUNCTION = -1.967489
MEAN ERROR = -0.54696
SUM-SQUARED ERRORS = 0.72920
MEAN SQUARE ERROR = 0.36460
MEAN ABSOLUTE ERROR= 0.54696
ROOT MEAN SQUARE ERROR = 0.60382
MEAN SQUARED PERCENTAGE ERROR= 0.0000
THEIL INEQUALITY COEFFICIENT U = 0.000
DECOMPOSITION
PROPORTION DUE
TO BIAS = 0.82051
PROPORTION DUE
TO VARIANCE = 0.17949
PROPORTION DUE
TO COVARIANCE = -0.27756E-16
DECOMPOSITION
PROPORTION DUE
TO BIAS = 0.82051
PROPORTION DUE
TO REGRESSION = 0.17949
PROPORTION DUE
TO DISTURBANCE = -0.27756E-16
|_ *predict whether people will decrease
their trip to other cities
|_ logit fewtrips female age drive
homeshop manyshop/piter=0 list
OBSERVATION 2 IS SKIPPED
BECAUSE FEWTRIPS MISSING
OBSERVATION 7 IS SKIPPED
BECAUSE FEWTRIPS MISSING
OBSERVATION 9 IS SKIPPED
BECAUSE FEWTRIPS MISSING
OBSERVATION 11 IS SKIPPED BECAUSE
FEWTRIPS MISSING
OBSERVATION 13 IS SKIPPED BECAUSE
FEWTRIPS MISSING
OBSERVATION 14 IS SKIPPED BECAUSE
FEWTRIPS MISSING
OBSERVATION 17 IS SKIPPED BECAUSE
FEWTRIPS MISSING
OBSERVATION 21 IS SKIPPED BECAUSE
FEWTRIPS MISSING
REQUIRED MEMORY IS PAR= 9 CURRENT
PAR= 781
LOGIT ANALYSIS DEPENDENT VARIABLE
=FEWTRIPS CHOICES = 2
14. TOTAL
OBSERVATIONS
5.
OBSERVATIONS AT ONE
9.
OBSERVATIONS AT ZERO
25 MAXIMUM ITERATIONS
CONVERGENCE TOLERANCE =0.00100
LOG OF LIKELIHOOD WITH CONSTANT TERM ONLY
= -9.1246
BINOMIAL ESTIMATE = 0.3571
MAXIMUM ITERATIONS REACHED: RESULTS BELOW
UNRELIABLE
ITERATION 26 LOG OF
LIKELIHOOD FUNCTION = -7.0733
ITERATION 26 ESTIMATES
28.173 0.20677 -0.11815 -0.63955E-01 -1.4038 -31.238
ASYMPTOTIC
WEIGHTED
VARIABLE ESTIMATED STANDARD T-RATIO ELASTICITY AGGREGATE
NAME COEFFICIENT ERROR
AT
MEANS
ELASTICITY
FEMALE
28.173
0.28230E+06 0.99800E-04 22.086
13.986
AGE
0.20677
0.90101
0.22949
4.5239 2.1815
DRIVE
-0.11815
0.26472
-0.44631
-0.45466
-0.21399
HOMESHOP -0.63955E-01 1.9617 -0.32601E-01
-0.54693E-01 -0.25668E-01
MANYSHOP -1.4038
1.7895
-0.78448
-1.0004
-0.51209
CONSTANT -31.238 0.28230E+06
-0.11066E-03 -31.166 -15.507
SCALE FACTOR = 0.22766E-02
VARIABLE MARGINAL -----
PROBABILITIES FOR A TYPICAL CASE -----
NAME
EFFECT CASE
X=0
X=1
MARGINAL
VALUES
EFFECT
FEMALE
0.64140E-01
1.0000
0.36941E-12 0.38851 0.38851
AGE
0.47074E-03 21.929
DRIVE
-0.26897E-03 3.8571
HOMESHOP -0.14560E-03 1.0000 0.40381 0.38851 -0.15298E-01
MANYSHOP -0.31959E-02 1.0000 0.72116 0.38851 -0.33265
LOG-LIKELIHOOD FUNCTION = -7.0733
LOG-LIKELIHOOD(0) = -9.1246
LIKELIHOOD RATIO TEST = 4.10257 WITH 5 D.F. P-VALUE= 0.53474
ESTRELLA R-SQUARE
0.28246
MADDALA R-SQUARE
0.25401
CRAGG-UHLER R-SQUARE
0.34871
MCFADDEN R-SQUARE
0.22481
ADJUSTED FOR
DEGREES OF FREEDOM -0.25969
APPROXIMATELY
F-DISTRIBUTED
0.34800
WITH
5 AND 6 D.F.
CHOW R-SQUARE
0.22703
PREDICTION
SUCCESS TABLE
ACTUAL
0
1
0
8.
2.
PREDICTED 1 1.
3.
NUMBER OF RIGHT PREDICTIONS = 11.0
PERCENTAGE OF RIGHT PREDICTIONS = 0.78571
NAIVE MODEL PERCENTAGE OF RIGHT
PREDICTIONS = 0.64286
EXPECTED OBSERVATIONS AT 0 =
9.0 OBSERVED = 9.0
EXPECTED OBSERVATIONS AT 1 =
5.0 OBSERVED = 5.0
SUM OF SQUARED "RESIDUALS"
=
2.4846
WEIGHTED SUM OF SQUARED
"RESIDUALS" =
10.970
HENSHER-JOHNSON PREDICTION SUCCESS TABLE
OBSERVED
OBSERVED
PREDICTED CHOICE
COUNT
SHARE
ACTUAL
0
1
0
6.517
2.483
9.000
0.643
1
2.483
2.517
5.000
0.357
PREDICTED COUNT
9.000
5.000
14.000
1.000
PREDICTED SHARE
0.643
0.357
1.000
PROP. SUCCESSFUL 0.724 0.503 0.645
SUCCESS INDEX
0.081
0.146
0.104
PROPORTIONAL ERROR 0.000 0.000
NORMALIZED SUCCESS INDEX
0.227
OBS. OBSERVED PREDICTED CALCULATED
NO. VALUE VALUE INDEX
1 0.0000 0.30786 -0.81013 IX *
I
3 0.0000 0.39504 -0.42617 IX
*
I
4 1.0000 0.37407 -0.51480 I
*
XI
5 0.0000 0.36401E-11 -26.339 I*
I
6 1.0000 0.73822
1.0367
I
*
XI
8 0.0000 0.48087E-12 -28.363 I*
I
10 1.0000 0.28931 -0.89875 I *
XI
12 0.0000 0.49531E-12 -28.334 I*
I
15 0.0000 0.47471 -0.10126 IX
*
I
16 0.0000 0.65094 0.62318 IX
*
I
18 0.0000 0.38916 -0.45085 IX
*
I
19 0.0000 0.26563 -1.0169 IX *
I
20 1.0000 0.61084 0.45085 I
*
XI
22 1.0000 0.50422 0.16889E-01
I
*
XI
DURBIN-WATSON = 1.3561 VON NEUMANN RATIO =
1.4604 RHO = 0.28123
RESIDUAL SUM = -0.46230E-11 RESIDUAL VARIANCE = 0.17747
SUM OF ABSOLUTE ERRORS= 4.9667
R-SQUARE BETWEEN OBSERVED AND PREDICTED =
0.2270
LOG-LIKELIHOOD FUNCTION = -7.073305
RUNS TEST: 8 RUNS, 5 POS, 0 ZERO, 9 NEG NORMAL STATISTIC = 0.3488
|_ fc/ beg=23 end=24 list
REQUIRED MEMORY IS PAR= 7 CURRENT PAR= 781
DEPENDENT VARIABLE = FEWTRIPS
2 OBSERVATIONS
REGRESSION COEFFICIENTS
28.1732942006
0.206772100617
-0.118145326867
-0.639545608254E-01
-1.40379147369 -31.2376452189
..WARNING FORECAST STD. ERRORS ONLY VALID
FOR OLS
OBS. OBSERVED PREDICTED CALCULATED STD. ERROR
NO. VALUE
VALUE
INDEX
23 0.0000 0.20867E-11 -26.895 *********I*
24 0.0000 0.78209
1.2779 0.000IX
*
SUM OF ABSOLUTE ERRORS= 0.78209
R-SQUARE BETWEEN OBSERVED AND PREDICTED =
0.0000
LOG-LIKELIHOOD FUNCTION = -1.523654
MEAN ERROR = -0.39104
SUM-SQUARED ERRORS = 0.61166
MEAN SQUARE ERROR = 0.30583
MEAN ABSOLUTE ERROR= 0.39104
ROOT MEAN SQUARE ERROR = 0.55302
MEAN SQUARED PERCENTAGE ERROR= 0.0000
THEIL INEQUALITY COEFFICIENT U = 0.000
DECOMPOSITION
PROPORTION DUE
TO BIAS = 0.50000
PROPORTION DUE
TO VARIANCE = 0.50000
PROPORTION DUE
TO COVARIANCE = -0.55511E-16
DECOMPOSITION
PROPORTION DUE
TO BIAS = 0.50000
PROPORTION DUE
TO REGRESSION = 0.50000
PROPORTION DUE
TO DISTURBANCE = -0.55511E-16
|_ stop