SHAZAM OUTPUT
*********************************************************************
Hello/Bonjour/Aloha/Howdy/G Day/Kia Ora/Konnichiwa/Buenos Dias/Nee Hau/Ciao
Welcome to SHAZAM - Version 9.0 - JUL_2002 SYSTEM=LINUX PAR= 781
|_ set nowide
|_ set skipmiss
|_ *sex data coded: 1=female 0=male
|_ *nearsght data coded: 1=yes 0=no
|_ *parents data coded: 1=both 2=one 3=neither
|_ *newspapr data coded: 1=yes 0=no
|_ *study data coded: 1=<5hrs 2=5-10hrs 3=10-15hrs 4=15-20hrs 5=>20hrs
|_ *tv data coded: 1=<5hrs 2=5-10hrs 3=10-15hrs 4=15-20hrs 5=>20hrs
|_ *movie data coded: 1=never 2=1-3times 3=4-6times 4=>6times
|_ *bed data coded: 1=before10:00pm 2=10:00pm-11:00pm 3=11:00pm-12:00pm 4=12:00am-1:00am 5=1:00am-2:00am 6=after2:00am
|_ *posture data coded: 1=sitting 2=standing 3=tummy 4=back
|_ *computer data coded: 1=<5hrs 2=5-10hrs 3=10-15hrs 4=15-20hrs 5=>20hrs
|_ *video data coded: 1=<5hrs 2=5-10hrs 3=10-15hrs 4=15-20hrs 5=>20hrs
|_ *lighting data coded: 1=candlelight 2=fluorescence 3=halogen 4=incandescent
|_ *nation data coded: 1=chinese 2=canadian 3=taiwanese 4=japanese 5=filipino 6=Iranian 7=british 8=Ukranian
|_ *studytm data coded: 1=morning 2=afternoon 3=evening 4=night 5=latenight
|_ *sunglass data coded: 1=yes 2=sometimes 3=no
|_ sample 1 28
|_ read female age nearsght wrglass parents newspapr study tv movie bed posture computer video lighting nation studytm sunglass
17 VARIABLES AND 28 OBSERVATIONS STARTING AT OBS 1
|_ stat female parents/pfreq
NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM
FEMALE 28 0.71429 0.46004 0.21164 0.0000 1.0000
PARENTS 28 1.9643 0.74447 0.55423 1.0000 3.0000
VARIABLE = FEMALE
VALUE FREQUENCY PERCENT CUMULATIVE REMAINING
0.0000000 8 0.28571 0.28571 0.71429
1.0000000 20 0.71429 1.00000 0.00000
MEDIAN = 1.0000
LOWER 25%= 0.0000 UPPER 25%= 1.0000 INTERQUARTILE RANGE= 1.000
MODE = 1.0000 WITH 20 OBSERVATIONS
VARIABLE = PARENTS
VALUE FREQUENCY PERCENT CUMULATIVE REMAINING
1.0000000 8 0.28571 0.28571 0.71429
2.0000000 13 0.46429 0.75000 0.25000
3.0000000 7 0.25000 1.00000 0.00000
MEDIAN = 2.0000
LOWER 25%= 1.0000 UPPER 25%= 2.7500 INTERQUARTILE RANGE= 1.750
MODE = 2.0000 WITH 13 OBSERVATIONS
|_ genr both=(parents.eq.1)
|_ genr one=(parents.eq.2)
|_ genr neither=(parents.eq.2)
|_ stat tv/pfreq
NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM
TV 28 2.1786 1.2781 1.6336 1.0000 5.0000
VARIABLE = TV
VALUE FREQUENCY PERCENT CUMULATIVE REMAINING
1.0000000 11 0.39286 0.39286 0.60714
2.0000000 8 0.28571 0.67857 0.32143
3.0000000 4 0.14286 0.82143 0.17857
4.0000000 3 0.10714 0.92857 0.07143
5.0000000 2 0.07143 1.00000 0.00000
MEDIAN = 2.0000
LOWER 25%= 1.0000 UPPER 25%= 3.0000 INTERQUARTILE RANGE= 2.000
MODE = 1.0000 WITH 11 OBSERVATIONS
|_ genr lessfive=(tv.eq.1)
|_ genr five=(tv.eq.2)
|_ genr ten=(tv.eq.2)
|_ genr fifteen=(tv.eq.2)
|_ genr twenty=(tv.eq.2)
|_ stat computer/pfreq
NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM
COMPUTER 28 3.3571 1.2536 1.5714 1.0000 5.0000
VARIABLE = COMPUTER
VALUE FREQUENCY PERCENT CUMULATIVE REMAINING
1.0000000 2 0.07143 0.07143 0.92857
2.0000000 5 0.17857 0.25000 0.75000
3.0000000 9 0.32143 0.57143 0.42857
4.0000000 5 0.17857 0.75000 0.25000
5.0000000 7 0.25000 1.00000 0.00000
MEDIAN = 3.0000
LOWER 25%= 2.2500 UPPER 25%= 4.7500 INTERQUARTILE RANGE= 2.500
MODE = 3.0000 WITH 9 OBSERVATIONS
|_ genr lessfive=(computer.eq.1)
|_ genr five=(computer.eq.2)
|_ genr ten=(computer.eq.2)
|_ genr fifteen=(computer.eq.2)
|_ genr twenty=(computer.eq.2)
|_ stat sunglass/pfreq
NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM
SUNGLASS 28 1.7500 0.84437 0.71296 1.0000 3.0000
VARIABLE = SUNGLASS
VALUE FREQUENCY PERCENT CUMULATIVE REMAINING
1.0000000 14 0.50000 0.50000 0.50000
2.0000000 7 0.25000 0.75000 0.25000
3.0000000 7 0.25000 1.00000 0.00000
MEDIAN = 1.5000
LOWER 25%= 1.0000 UPPER 25%= 2.7500 INTERQUARTILE RANGE= 1.750
MODE = 1.0000 WITH 14 OBSERVATIONS
|_ genr yes=(sunglass.eq.1)
|_ genr sometime=(sunglass.eq.2)
|_ genr no=(sunglass.eq.3)
|_ set noskipmiss
|_ sort wrglass female age nearsght parents newspapr study tv movie bed posture computer video lighting nation studytm sunglass/d
| esc
..WARNING..OBSERVATION 6 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 11 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 13 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 17 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 21 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 22 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 24 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 26 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 28 OF WRGLASS HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 15 OF NATION HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 20 OF NATION HAS MISSING DATA VALUE=-99999.
..WARNING..OBSERVATION 21 OF NATION HAS MISSING DATA VALUE=-99999.
DATA HAS BEEN SORTED BY VARIABLE WRGLASS
|_ set skipmiss
|_ genr q=time(0)
|_ print q wrglass nearsght parents female tv computer
Q WRGLASS NEARSGHT PARENTS FEMALE &
TV COMPUTER
1.000000 19.00000 1.000000 3.000000 1.000000
2.000000 4.000000
2.000000 19.00000 1.000000 3.000000 0.000000
1.000000 2.000000
3.000000 19.00000 1.000000 2.000000 1.000000
2.000000 1.000000
4.000000 19.00000 1.000000 2.000000 1.000000
1.000000 2.000000
5.000000 18.00000 1.000000 2.000000 1.000000
2.000000 3.000000
6.000000 16.00000 1.000000 3.000000 0.000000
4.000000 4.000000
7.000000 16.00000 1.000000 2.000000 1.000000
2.000000 1.000000
8.000000 14.00000 1.000000 1.000000 1.000000
1.000000 3.000000
9.000000 13.00000 1.000000 1.000000 1.000000
1.000000 2.000000
10.00000 13.00000 1.000000 2.000000 1.000000
4.000000 4.000000
11.00000 10.00000 1.000000 2.000000 1.000000
1.000000 3.000000
12.00000 9.000000 1.000000 1.000000 0.000000
1.000000 3.000000
13.00000 9.000000 1.000000 2.000000 0.000000
2.000000 3.000000
14.00000 9.000000 1.000000 3.000000 1.000000
1.000000 4.000000
15.00000 9.000000 1.000000 2.000000 1.000000
2.000000 5.000000
16.00000 7.000000 1.000000 2.000000 0.000000
5.000000 5.000000
17.00000 7.000000 1.000000 2.000000 0.000000
5.000000 2.000000
18.00000 6.000000 1.000000 1.000000 0.000000
3.000000 3.000000
19.00000 6.000000 1.000000 1.000000 1.000000
3.000000 2.000000
20.00000 -99999.00 0.000000 1.000000 1.000000
1.000000 3.000000
21.00000 -99999.00 0.000000 1.000000 0.000000
2.000000 5.000000
22.00000 -99999.00 0.000000 3.000000 1.000000
1.000000 5.000000
23.00000 -99999.00 0.000000 2.000000 1.000000
1.000000 5.000000
24.00000 -99999.00 0.000000 2.000000 1.000000
1.000000 4.000000
25.00000 -99999.00 0.000000 2.000000 1.000000
2.000000 5.000000
26.00000 -99999.00 0.000000 3.000000 1.000000
3.000000 3.000000
27.00000 -99999.00 0.000000 1.000000 1.000000
3.000000 5.000000
28.00000 -99999.00 0.000000 3.000000 1.000000
4.000000 3.000000
|_ graph wrglass q / line
OBSERVATION 20 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 21 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 22 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 23 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 24 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 25 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 26 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 27 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 28 IS SKIPPED BECAUSE WRGLASS MISSING
REQUIRED MEMORY IS PAR= 8 CURRENT PAR= 781
19 OBSERVATIONS
SHAZAM WILL NOW MAKE A PLOT FOR YOU
A LINE WILL BE DRAWN
|_ stat wrglass parents female tv computer
NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM
WRGLASS 19 12.526 4.8690 23.708 6.0000 19.000
PARENTS 28 1.9643 0.74447 0.55423 1.0000 3.0000
FEMALE 28 0.71429 0.46004 0.21164 0.0000 1.0000
TV 28 2.1786 1.2781 1.6336 1.0000 5.0000
COMPUTER 28 3.3571 1.2536 1.5714 1.0000 5.0000
|_ confid wrglass
USING 95% AND 90% CONFIDENCE INTERVALS
CONFIDENCE INTERVALS BASED ON T-DISTRIBUTION WITH 27 D.F.
- T CRITICAL VALUES = 2.052 AND 1.703
NAME LOWER 2.5% LOWER 5% COEFFICIENT UPPER 5% UPPER 2.5% STD. ERROR
WRGLASS 10.23 10.62 12.526 14.43 14.82 1.117
|_ confid parents
USING 95% AND 90% CONFIDENCE INTERVALS
CONFIDENCE INTERVALS BASED ON T-DISTRIBUTION WITH 27 D.F.
- T CRITICAL VALUES = 2.052 AND 1.703
NAME LOWER 2.5% LOWER 5% COEFFICIENT UPPER 5% UPPER 2.5% STD. ERROR
PARENTS 1.676 1.725 1.9643 2.204 2.253 0.141
|_ confid female
USING 95% AND 90% CONFIDENCE INTERVALS
CONFIDENCE INTERVALS BASED ON T-DISTRIBUTION WITH 27 D.F.
- T CRITICAL VALUES = 2.052 AND 1.703
NAME LOWER 2.5% LOWER 5% COEFFICIENT UPPER 5% UPPER 2.5% STD. ERROR
FEMALE 0.5470 0.5738 0.71429 0.8547 0.8816 0.085
|_ confid tv
USING 95% AND 90% CONFIDENCE INTERVALS
CONFIDENCE INTERVALS BASED ON T-DISTRIBUTION WITH 27 D.F.
- T CRITICAL VALUES = 2.052 AND 1.703
NAME LOWER 2.5% LOWER 5% COEFFICIENT UPPER 5% UPPER 2.5% STD. ERROR
TV 1.683 1.767 2.1786 2.590 2.674 0.242
|_ confid computer
USING 95% AND 90% CONFIDENCE INTERVALS
CONFIDENCE INTERVALS BASED ON T-DISTRIBUTION WITH 27 D.F.
- T CRITICAL VALUES = 2.052 AND 1.703
NAME LOWER 2.5% LOWER 5% COEFFICIENT UPPER 5% UPPER 2.5% STD. ERROR
COMPUTER 2.871 2.954 3.3571 3.761 3.843 0.237
|_ ols q wrglass/list
OBSERVATION 20 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 21 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 22 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 23 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 24 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 25 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 26 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 27 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 28 IS SKIPPED BECAUSE WRGLASS MISSING
REQUIRED MEMORY IS PAR= 9 CURRENT PAR= 781
OLS ESTIMATION
19 OBSERVATIONS DEPENDENT VARIABLE= Q
...NOTE..SAMPLE RANGE SET TO: 1, 28
R-SQUARE = 0.9631 R-SQUARE ADJUSTED = 0.9609VARIANCE OF THE ESTIMATE-SIGMA**2 = 1.2384
STANDARD ERROR OF THE ESTIMATE-SIGMA = 1.1128
SUM OF SQUARED ERRORS-SSE= 21.053
MEAN OF DEPENDENT VARIABLE = 10.000
LOG OF THE LIKELIHOOD FUNCTION = -27.9345
MODEL SELECTION TESTS - SEE JUDGE ET AL. (1985,P.242)
AKAIKE (1969) FINAL PREDICTION ERROR - FPE = 1.3688
(FPE IS ALSO KNOWN AS AMEMIYA PREDICTION CRITERION - PC)
AKAIKE (1973) INFORMATION CRITERION - LOG AIC = 0.31312
SCHWARZ (1978) CRITERION - LOG SC = 0.41253
MODEL SELECTION TESTS - SEE RAMANATHAN (1998,P.165)
CRAVEN-WAHBA (1979)
GENERALIZED CROSS VALIDATION - GCV = 1.3841
HANNAN AND QUINN (1979) CRITERION = 1.3909
RICE (1984) CRITERION = 1.4035
SHIBATA (1981) CRITERION = 1.3413
SCHWARZ (1978) CRITERION - SC = 1.5106
AKAIKE (1974) INFORMATION CRITERION - AIC = 1.3677
ANALYSIS OF VARIANCE - FROM MEAN
SS DF MS F
REGRESSION 548.95 1. 548.95 443.272
ERROR 21.053 17. 1.2384 P-VALUE
TOTAL 570.00 18. 31.667 0.000
ANALYSIS OF VARIANCE - FROM ZERO
SS DF MS F
REGRESSION 2448.9 2. 1224.5 988.755
ERROR 21.053 17. 1.2384 P-VALUE
TOTAL 2470.0 19. 130.00 0.000
VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY
NAME COEFFICIENT ERROR 17 DF P-VALUE CORR. COEFFICIENT AT MEANS
WRGLASS -1.1342 0.5387E-01 -21.05 0.000-0.981 -0.9814 -1.4207
CONSTANT 24.207 0.7215 33.55 0.000 0.993 0.0000 2.4207
OBS. OBSERVED PREDICTED CALCULATED
NO. VALUE VALUE RESIDUAL
1 1.0000 2.6576 -1.6576 * I
2 2.0000 2.6576 -0.65762 * I
3 3.0000 2.6576 0.34238 I *
4 4.0000 2.6576 1.3424 I *
5 5.0000 3.7918 1.2082 I *
6 6.0000 6.0602 -0.60187E-01 *
7 7.0000 6.0602 0.93981 I *
8 8.0000 8.3286 -0.32856 *I
9 9.0000 9.4628 -0.46275 * I
10 10.000 9.4628 0.53725 I *
11 11.000 12.865 -1.8653 * I
12 12.000 14.000 -1.9995 * I
13 13.000 14.000 -0.99951 * I
14 14.000 14.000 0.49334E-03 *
15 15.000 14.000 1.0005 I *
16 16.000 16.268 -0.26788 *I
17 17.000 16.268 0.73212 I *
18 18.000 17.402 0.59793 I *
19 19.000 17.402 1.5979 I *
DURBIN-WATSON = 0.9819 VON NEUMANN RATIO = 1.0364 RHO = 0.43606
RESIDUAL SUM = 0.24425E-14 RESIDUAL VARIANCE = 1.2384
SUM OF ABSOLUTE ERRORS= 16.598
R-SQUARE BETWEEN OBSERVED AND PREDICTED = 0.9631
RUNS TEST: 10 RUNS, 10 POS, 0 ZERO, 9 NEG NORMAL STATISTIC = -0.2243
COEFFICIENT OF SKEWNESS = -0.4703 WITH STANDARD DEVIATION OF 0.5238
COEFFICIENT OF EXCESS KURTOSIS = -0.6754 WITH STANDARD DEVIATION OF 1.0143
JARQUE-BERA NORMALITY TEST- CHI-SQUARE(2 DF)= 1.1116 P-VALUE= 0.574
GOODNESS OF FIT TEST FOR NORMALITY OF RESIDUALS - 6 GROUPS
OBSERVED 0.0 3.0 6.0 7.0 3.0 0.0
EXPECTED 0.4 2.6 6.5 6.5 2.6 0.4
CHI-SQUARE = 1.0788 WITH 2 DEGREES OF FREEDOM, P-VALUE= 0.583
|_ *try logs (for a better fit)
|_ genr logq=log(q)
|_ genr logp=log(wrglass)
..WARNING.ILLEGAL LOG IN OBS 20,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 20 IS ASSIGNED MISSING CODE=-99999.
..WARNING.ILLEGAL LOG IN OBS 21,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 21 IS ASSIGNED MISSING CODE=-99999.
..WARNING.ILLEGAL LOG IN OBS 22,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 22 IS ASSIGNED MISSING CODE=-99999.
..WARNING.ILLEGAL LOG IN OBS 23,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 23 IS ASSIGNED MISSING CODE=-99999.
..WARNING.ILLEGAL LOG IN OBS 24,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 24 IS ASSIGNED MISSING CODE=-99999.
..WARNING.ILLEGAL LOG IN OBS 25,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 25 IS ASSIGNED MISSING CODE=-99999.
..WARNING.ILLEGAL LOG IN OBS 26,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 26 IS ASSIGNED MISSING CODE=-99999.
..WARNING.ILLEGAL LOG IN OBS 27,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 27 IS ASSIGNED MISSING CODE=-99999.
..WARNING.ILLEGAL LOG IN OBS 28,VALUE=-0.100E+06 USING MISSING CODE=-99999.
..OBSERVATION 28 IS ASSIGNED MISSING CODE=-99999.
|_ ols logq logp / rstat loglog
OBSERVATION 20 IS SKIPPED BECAUSE LOGP MISSING
OBSERVATION 21 IS SKIPPED BECAUSE LOGP MISSING
OBSERVATION 22 IS SKIPPED BECAUSE LOGP MISSING
OBSERVATION 23 IS SKIPPED BECAUSE LOGP MISSING
OBSERVATION 24 IS SKIPPED BECAUSE LOGP MISSING
OBSERVATION 25 IS SKIPPED BECAUSE LOGP MISSING
OBSERVATION 26 IS SKIPPED BECAUSE LOGP MISSING
OBSERVATION 27 IS SKIPPED BECAUSE LOGP MISSING
OBSERVATION 28 IS SKIPPED BECAUSE LOGP MISSING
REQUIRED MEMORY IS PAR= 9 CURRENT PAR= 781
OLS ESTIMATION
19 OBSERVATIONS DEPENDENT VARIABLE= LOGQ
...NOTE..SAMPLE RANGE SET TO: 1, 28
R-SQUARE = 0.7590 R-SQUARE ADJUSTED = 0.7448VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.16638
STANDARD ERROR OF THE ESTIMATE-SIGMA = 0.40790
SUM OF SQUARED ERRORS-SSE= 2.8285
MEAN OF DEPENDENT VARIABLE = 2.0705
LOG OF THE LIKELIHOOD FUNCTION(IF DEPVAR LOG) = -48.2051
MODEL SELECTION TESTS - SEE JUDGE ET AL. (1985,P.242)
AKAIKE (1969) FINAL PREDICTION ERROR - FPE = 0.18390
(FPE IS ALSO KNOWN AS AMEMIYA PREDICTION CRITERION - PC)
AKAIKE (1973) INFORMATION CRITERION - LOG AIC = -1.6942
SCHWARZ (1978) CRITERION - LOG SC = -1.5948
MODEL SELECTION TESTS - SEE RAMANATHAN (1998,P.165)
CRAVEN-WAHBA (1979)
GENERALIZED CROSS VALIDATION - GCV = 0.18596
HANNAN AND QUINN (1979) CRITERION = 0.18687
RICE (1984) CRITERION = 0.18857
SHIBATA (1981) CRITERION = 0.18021
SCHWARZ (1978) CRITERION - SC = 0.20296
AKAIKE (1974) INFORMATION CRITERION - AIC = 0.18375
ANALYSIS OF VARIANCE - FROM MEAN
SS DF MS F
REGRESSION 8.9078 1. 8.9078 53.539
ERROR 2.8285 17. 0.16638 P-VALUE
TOTAL 11.736 18. 0.65202 0.000
ANALYSIS OF VARIANCE - FROM ZERO
SS DF MS F
REGRESSION 90.362 2. 45.181 271.550
ERROR 2.8285 17. 0.16638 P-VALUE
TOTAL 93.190 19. 4.9048 0.000
VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY
NAME COEFFICIENT ERROR 17 DF P-VALUE CORR. COEFFICIENT AT MEANS
LOGP -1.6967 0.2319 -7.317 0.000-0.871 -0.8712 -1.6967
CONSTANT 6.2274 0.5758 10.82 0.000 0.934 0.0000 6.2274
DURBIN-WATSON = 0.3944 VON NEUMANN RATIO = 0.4163 RHO = 0.53544
RESIDUAL SUM = -0.66613E-15 RESIDUAL VARIANCE = 0.16638
SUM OF ABSOLUTE ERRORS= 5.4053
R-SQUARE BETWEEN OBSERVED AND PREDICTED = 0.7590
R-SQUARE BETWEEN ANTILOGS OBSERVED AND PREDICTED = 0.8710
RUNS TEST: 5 RUNS, 11 POS, 0 ZERO, 8 NEG NORMAL STATISTIC = -2.5523
COEFFICIENT OF SKEWNESS = -1.7834 WITH STANDARD DEVIATION OF 0.5238
COEFFICIENT OF EXCESS KURTOSIS = 4.2813 WITH STANDARD DEVIATION OF 1.0143
JARQUE-BERA NORMALITY TEST- CHI-SQUARE(2 DF)= 15.3296 P-VALUE= 0.000
GOODNESS OF FIT TEST FOR NORMALITY OF RESIDUALS - 6 GROUPS
OBSERVED 1.0 1.0 6.0 9.0 2.0 0.0
EXPECTED 0.4 2.6 6.5 6.5 2.6 0.4
CHI-SQUARE = 3.2873 WITH 2 DEGREES OF FREEDOM, P-VALUE= 0.193
|_ *get the age of wearing glasses assuming indeps: parents, female, tv, computer
|_ ols wrglass parents female tv computer/list
OBSERVATION 20 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 21 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 22 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 23 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 24 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 25 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 26 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 27 IS SKIPPED BECAUSE WRGLASS MISSING
OBSERVATION 28 IS SKIPPED BECAUSE WRGLASS MISSING
REQUIRED MEMORY IS PAR= 10 CURRENT PAR= 781
OLS ESTIMATION
19 OBSERVATIONS DEPENDENT VARIABLE= WRGLASS
...NOTE..SAMPLE RANGE SET TO: 1, 28
R-SQUARE = 0.5274 R-SQUARE ADJUSTED = 0.3924VARIANCE OF THE ESTIMATE-SIGMA**2 = 14.405
STANDARD ERROR OF THE ESTIMATE-SIGMA = 3.7954
SUM OF SQUARED ERRORS-SSE= 201.67
MEAN OF DEPENDENT VARIABLE = 12.526
LOG OF THE LIKELIHOOD FUNCTION = -49.4006
MODEL SELECTION TESTS - SEE JUDGE ET AL. (1985,P.242)
AKAIKE (1969) FINAL PREDICTION ERROR - FPE = 18.196
(FPE IS ALSO KNOWN AS AMEMIYA PREDICTION CRITERION - PC)
AKAIKE (1973) INFORMATION CRITERION - LOG AIC = 2.8885
SCHWARZ (1978) CRITERION - LOG SC = 3.1370
MODEL SELECTION TESTS - SEE RAMANATHAN (1998,P.165)
CRAVEN-WAHBA (1979)
GENERALIZED CROSS VALIDATION - GCV = 19.550
HANNAN AND QUINN (1979) CRITERION = 18.738
RICE (1984) CRITERION = 22.408
SHIBATA (1981) CRITERION = 16.201
SCHWARZ (1978) CRITERION - SC = 23.036
AKAIKE (1974) INFORMATION CRITERION - AIC = 17.966
ANALYSIS OF VARIANCE - FROM MEAN
SS DF MS F
REGRESSION 225.07 4. 56.267 3.906
ERROR 201.67 14. 14.405 P-VALUE
TOTAL 426.74 18. 23.708 0.025
ANALYSIS OF VARIANCE - FROM ZERO
SS DF MS F
REGRESSION 3206.3 5. 641.27 44.517
ERROR 201.67 14. 14.405 P-VALUE
TOTAL 3408.0 19. 179.37 0.000
VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY
NAME COEFFICIENT ERROR 14 DF P-VALUE CORR. COEFFICIENT AT MEANS
PARENTS 3.9639 1.316 3.012 0.009 0.627 0.5740 0.6162
FEMALE 2.3505 1.993 1.180 0.258 0.301 0.2392 0.1185
TV -0.69932 0.7465 -0.9368 0.365-0.243 -0.1965 -0.1263
COMPUTER -1.5683 0.8198 -1.913 0.076-0.455 -0.3792 -0.3690
CONSTANT 9.5278 3.802 2.506 0.025 0.556 0.0000 0.7606
OBS. OBSERVED PREDICTED CALCULATED
NO. VALUE VALUE RESIDUAL
1 19.000 16.098 2.9021 I *
2 19.000 17.583 1.4165 I *
3 19.000 16.839 2.1610 I *
4 19.000 15.970 3.0300 I *
5 18.000 13.702 4.2976 I *
6 16.000 12.349 3.6511 I *
7 16.000 16.839 -0.83904 *I
8 14.000 10.438 3.5622 I *
9 13.000 12.006 0.99386 I*
10 13.000 10.735 2.2646 I *
11 10.000 14.402 -4.4017 * I
12 9.0000 8.0874 0.91264 I*
13 9.0000 11.352 -2.3519 * I
14 9.0000 16.797 -7.7973 * I
15 9.0000 10.566 -1.5657 * I
16 7.0000 6.1173 0.88267 I*
17 7.0000 10.822 -3.8223 * I
18 6.0000 6.6887 -0.68873 *I
19 6.0000 10.608 -4.6075 * I
DURBIN-WATSON = 1.2814 VON NEUMANN RATIO = 1.3526 RHO = 0.31942
RESIDUAL SUM = 0.0000 RESIDUAL VARIANCE = 14.405
SUM OF ABSOLUTE ERRORS= 52.148
R-SQUARE BETWEEN OBSERVED AND PREDICTED = 0.5274
RUNS TEST: 8 RUNS, 11 POS, 0 ZERO, 8 NEG NORMAL STATISTIC = -1.0975
COEFFICIENT OF SKEWNESS = -0.7919 WITH STANDARD DEVIATION OF 0.5238
COEFFICIENT OF EXCESS KURTOSIS = -0.0723 WITH STANDARD DEVIATION OF 1.0143
JARQUE-BERA NORMALITY TEST- CHI-SQUARE(2 DF)= 1.7775 P-VALUE= 0.411
GOODNESS OF FIT TEST FOR NORMALITY OF RESIDUALS - 10 GROUPS
OBSERVED 0.0 1.0 1.0 3.0 3.0 6.0 5.0 0.0 0.0 0.0
EXPECTED 0.2 0.5 1.5 3.0 4.3 4.3 3.0 1.5 0.5 0.2
CHI-SQUARE = 5.2987 WITH 3 DEGREES OF FREEDOM, P-VALUE= 0.151
|_ *using Logit to predict the probability of getting nearsighted
|_ logit nearsght parents age female/list
REQUIRED MEMORY IS PAR= 10 CURRENT PAR= 781
LOGIT ANALYSIS DEPENDENT VARIABLE =NEARSGHT CHOICES = 2
28. TOTAL OBSERVATIONS
19. OBSERVATIONS AT ONE
9. OBSERVATIONS AT ZERO
25 MAXIMUM ITERATIONS
CONVERGENCE TOLERANCE =0.00100
LOG OF LIKELIHOOD WITH CONSTANT TERM ONLY = -17.582
BINOMIAL ESTIMATE = 0.6786
ITERATION 0 LOG OF LIKELIHOOD FUNCTION = -17.582
ITERATION 1 ESTIMATES
0.15617E-01-0.13709 -1.6226 4.8915
ITERATION 1 LOG OF LIKELIHOOD FUNCTION = -16.170
ITERATION 2 ESTIMATES
0.37577E-01-0.18971 -2.1688 6.5334
ITERATION 2 LOG OF LIKELIHOOD FUNCTION = -16.052
ITERATION 3 ESTIMATES
0.43585E-01-0.20270 -2.3088 6.9381
ITERATION 3 LOG OF LIKELIHOOD FUNCTION = -16.048
ITERATION 4 ESTIMATES
0.43891E-01-0.20337 -2.3162 6.9591
ASYMPTOTIC WEIGHTED
VARIABLE ESTIMATED STANDARD T-RATIO ELASTICITY AGGREGATE
NAME COEFFICIENT ERROR AT MEANS ELASTICITY
PARENTS 0.43891E-01 0.61308 0.71592E-01 0.24623E-01 0.25437E-01
AGE -0.20337 0.22192 -0.91638 -1.2778 -1.3041
FEMALE -2.3162 1.6446 -1.4083 -0.47251 -0.57913
CONSTANT 6.9591 5.8523 1.1891 1.9875 2.0293
SCALE FACTOR = 0.20403
VARIABLE MARGINAL ----- PROBABILITIES FOR A TYPICAL CASE -----
NAME EFFECT CASE X=0 X=1 MARGINAL
VALUES EFFECT
PARENTS 0.89554E-02 1.9643
AGE -0.41494E-01 22.000
FEMALE -0.47258 1.0000 0.92899 0.56342 -0.36556
LOG-LIKELIHOOD FUNCTION = -16.048
LOG-LIKELIHOOD(0) = -17.582
LIKELIHOOD RATIO TEST = 3.06921 WITH 3 D.F. P-VALUE= 0.38108
ESTRELLA R-SQUARE 0.10836
MADDALA R-SQUARE 0.10382
CRAGG-UHLER R-SQUARE 0.14517
MCFADDEN R-SQUARE 0.87281E-01
ADJUSTED FOR DEGREES OF FREEDOM -0.26809E-01
APPROXIMATELY F-DISTRIBUTED 0.12750 WITH 3 AND 4 D.F.
CHOW R-SQUARE 0.10312
PREDICTION SUCCESS TABLE
ACTUAL
0 1
0 1. 0.
PREDICTED 1 8. 19.
NUMBER OF RIGHT PREDICTIONS = 20.0
PERCENTAGE OF RIGHT PREDICTIONS = 0.71429
NAIVE MODEL PERCENTAGE OF RIGHT PREDICTIONS = 0.67857
EXPECTED OBSERVATIONS AT 0 = 9.0 OBSERVED = 9.0
EXPECTED OBSERVATIONS AT 1 = 19.0 OBSERVED = 19.0
SUM OF SQUARED "RESIDUALS" = 5.4774
WEIGHTED SUM OF SQUARED "RESIDUALS" = 28.291
HENSHER-JOHNSON PREDICTION SUCCESS TABLE
OBSERVED OBSERVED
PREDICTED CHOICE COUNT SHARE
ACTUAL 0 1
0 3.491 5.509 9.000 0.321
1 5.509 13.491 19.000 0.679
PREDICTED COUNT 9.000 19.000 28.000 1.000
PREDICTED SHARE 0.321 0.679 1.000
PROP. SUCCESSFUL 0.388 0.710 0.607
SUCCESS INDEX 0.066 0.031 0.043
PROPORTIONAL ERROR 0.000 0.000
NORMALIZED SUCCESS INDEX 0.098
OBS. OBSERVED PREDICTED CALCULATED
NO. VALUE VALUE INDEX
1 1.0000 0.62337 0.50389 I * XI
2 1.0000 0.94375 2.8201 I * XI
3 1.0000 0.61301 0.46000 I * XI
4 1.0000 0.66002 0.66337 I * XI
5 1.0000 0.56381 0.25664 I * XI
6 1.0000 0.91784 2.4133 I * XI
7 1.0000 0.66002 0.66337 I * XI
8 1.0000 0.60255 0.41611 I * XI
9 1.0000 0.60255 0.41611 I * XI
10 1.0000 0.61301 0.46000 I * XI
11 1.0000 0.66002 0.66337 I * XI
12 1.0000 0.93891 2.7323 I * XI
13 1.0000 0.94138 2.7762 I * XI
14 1.0000 0.62337 0.50389 I * XI
15 1.0000 0.66002 0.66337 I * XI
16 1.0000 0.79456 1.3526 I * XI
17 1.0000 0.63162 0.53915 I * XI
18 1.0000 0.93891 2.7323 I * XI
19 1.0000 0.50234 0.93772E-02 I * XI
20 0.0000 0.60255 0.41611 IX * I
21 0.0000 0.89304 2.1222 IX * I
22 0.0000 0.47347 -0.10621 IX * I
23 0.0000 0.56381 0.25664 IX * I
24 0.0000 0.61301 0.46000 IX * I
25 0.0000 0.56381 0.25664 IX * I
26 0.0000 0.57457 0.30053 IX * I
27 0.0000 0.65010 0.61948 IX * I
28 0.0000 0.57457 0.30053 IX * I
DURBIN-WATSON = 0.4430 VON NEUMANN RATIO = 0.4594 RHO = 0.78260
RESIDUAL SUM = 0.84074E-05 RESIDUAL VARIANCE = 0.19562
SUM OF ABSOLUTE ERRORS= 11.018
R-SQUARE BETWEEN OBSERVED AND PREDICTED = 0.1034
LOG-LIKELIHOOD FUNCTION = -16.04775
RUNS TEST: 2 RUNS, 19 POS, 0 ZERO, 9 NEG NORMAL STATISTIC = -4.9789
|_ stop