SYSTAT Output

>FPATH "d:\mydocs\ys209\
 

File D:\MYDOCS\YS209\SURVEY2.SYD

>USE "D:\mydocs\ys209\Survey2.syd"

SYSTAT Rectangular file D:\mydocs\ys209\Survey2.syd,
created Mon Oct 10, 1994 at 14:34:42, contains variables:
 ID           SEX          AGE          MARITAL      EDUCATN      EMPLOY
 INCOME       RELIGION     BLUE         DEPRESS      LONELY       CRY
 SAD          FEARFUL      FAILURE      AS_GOOD      HOPEFUL      HAPPY
 ENJOY        BOTHERED     NO_EAT       EFFORT       BADSLEEP     GETGOING
 MIND         TALKLESS     UNFRNDLY     DISLIKE      TOTAL        CASECONT
 DRINK        HEALTHY      DOCTOR       MEDS         BED_DAYS     ILLNESS
 CHRONIC      MARITAL$     SEX$         AGE$         EDUC$

>let l10inc=l10(income+1)
>let female=0
>if sex=2 then let female=1
>mglh
>den healthy
 

Density healthy

>let unhlthy=healthy
REM Why am I creating the variable unhlthy?
>model l10inc=constant+female+age+educatn+unhlthy
 

MGLH - Statistics

>estimate

Dep Var: L10INC   N: 256   Multiple R: 0.383392   Squared multiple R: 0.146990
Adjusted squared multiple R: 0.133396   Standard error of estimate: 0.290459

Effect         Coefficient    Std Error     Std Coef Tolerance     t   P(2 Tail)
CONSTANT          1.082622     0.089230     0.000000   .       12.13291  0.00000
FEMALE           -0.062041     0.037426    -0.097848  0.975383 -1.65767  0.09863
AGE               0.000144     0.001210     0.007415  0.878784  0.11923  0.90519
EDUCATN           0.076616     0.014559     0.321244  0.912008  5.26252  0.00000
UNHLTHY          -0.036447     0.024255    -0.096605  0.822295 -1.50270  0.13417

                             Analysis of Variance

Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
Regression              3.649017     4     0.912254   10.812991    0.000000
Residual               21.175994   251     0.084367

-------------------------------------------------------------------------------
Durbin-Watson D Statistic     1.744
First Order Autocorrelation   0.125
 

Plot of Residuals against Predicted Values


>model l10inc=constant+female+age+educatn+female*educatn+unhlthy

MGLH - Statistics

>estimate

Dep Var: L10INC   N: 256   Multiple R: 0.391494   Squared multiple R: 0.153268
Adjusted squared multiple R: 0.136333   Standard error of estimate: 0.289966

Effect         Coefficient    Std Error     Std Coef Tolerance     t   P(2 Tail)
CONSTANT          1.014729     0.102087     0.000000   .        9.93983  0.00000
FEMALE            0.074860     0.107271     0.118066  0.118331  0.69786  0.48591
AGE               0.000079     0.001209     0.004047  0.877391  0.06514  0.94811
EDUCATN           0.095510     0.020095     0.400464  0.477069  4.75282  0.00000
UNHLTHY          -0.036467     0.024214    -0.096657  0.822295 -1.50607  0.13331
FEMALE
*EDUCATN         -0.038029     0.027933    -0.236258  0.112475 -1.36148  0.17459

                             Analysis of Variance

Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
Regression              3.804870     5     0.760974    9.050535    0.000000
Residual               21.020141   250     0.084081
-------------------------------------------------------------------------------
Durbin-Watson D Statistic     1.754
First Order Autocorrelation   0.120
 

Plot of Residuals against Predicted Values


>model l10inc=constant+female+age+female*age+educatn+female*educatn+unhlthy
 

MGLH - Statistics

>estimate

Dep Var: L10INC   N: 256   Multiple R: 0.392989   Squared multiple R: 0.154440
Adjusted squared multiple R: 0.134065   Standard error of estimate: 0.290347

Effect         Coefficient    Std Error     Std Coef Tolerance     t   P(2 Tail)
CONSTANT          1.048992     0.117680     0.000000   .        8.91396  0.00000
FEMALE            0.010973     0.152827     0.017305  0.058452  0.07180  0.94282
AGE              -0.000692     0.001784    -0.035557  0.403678 -0.38768  0.69859
EDUCATN           0.094708     0.020168     0.397105  0.474889  4.69601  0.00000
UNHLTHY          -0.035845     0.024268    -0.095009  0.820730 -1.47703  0.14093
FEMALE*AGE        0.001359     0.002313     0.100682  0.115689  0.58766  0.55729
FEMALE
*EDUCATN         -0.035817     0.028221    -0.222514  0.110473 -1.26915  0.20557

                             Analysis of Variance

Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
Regression              3.833983     6     0.638997    7.579920    0.000000
Residual               20.991028   249     0.084301
-------------------------------------------------------------------------------
Durbin-Watson D Statistic     1.747
First Order Autocorrelation   0.124
 
 

Plot of Residuals against Predicted Values

>REM End of command batch file D:\MYDOCS\YS209\INCXFEM.SYC



Last modified 21 Mar 2000