Gen Stat
Gen Stat
Gen Stat
________________________________________
1 SET [WORKINGDIRECTORY='C:/Users/lugas/Documents']
2 "Data taken from file: 'D:/Penelitian/Olahan/Titik Kadar Air.xls'"
3 DELETE [REDEFINE=yes] _stitle_: TEXT _stitle_
4 READ [PRINT=*; SETNVALUES=yes] _stitle_
8 PRINT [IPRINT=*] _stitle_; JUST=left
61
62 %PostMessage 1129; 0; 100001 "Sheet Update Completed"
63 FCORRELATION [PRINT=correlations,test; METHOD=twosided]
%KA,NDSI,NDVI,NDWI,NDWI2,NDWI3
Correlations
%KA 1 -
NDSI 2 -0.6721 -
NDVI 3 0.5561 -0.9458 -
NDWI 4 0.0717 0.2930 -0.5658 -
NDWI2 5 -0.0214 0.2383 -0.4058 0.5699 -
NDWI3 6 0.1333 0.1948 -0.4879 0.9727 0.6018 -
1 2 3 4 5 6
Number of observations: 30
%KA 1 -
NDSI 2 <0.001 -
NDVI 3 0.0014 <0.001 -
NDWI 4 0.7067 0.1161 0.0011 -
NDWI2 5 0.9106 0.2048 0.0261 0.0010 -
NDWI3 6 0.4825 0.3022 0.0062 <0.001 <0.001
1 2 3 4 5
NDWI3 6 -
6
64 "Multiple Linear Regression"
65 MODEL %KA
66 TERMS [FACT=9] NDSI,NDVI,NDWI3
67 FIT [PRINT=model,summary,estimates; CONSTANT=estimate; FPROB=yes;
TPROB=yes; FACT=9]\
68 NDSI,NDVI,NDWI3
Regression analysis
Response variate: %KA
Fitted terms: Constant, NDSI, NDVI, NDWI3
Summary of analysis
Source d.f. s.s. m.s. v.r. F pr.
Regression 3 273.6 91.205 9.61 <.001
Residual 26 246.8 9.491
Total 29 520.4 17.944
Estimates of parameters
Parameter estimate s.e. t(26) t pr.
Constant 20.67 1.67 12.41 <.001
NDSI -9.0 29.6 -0.30 0.764
NDVI 7.1 24.5 0.29 0.774
NDWI3 23.4 26.6 0.88 0.387
Message: the variance of some parameter estimates is seriously inflated, due to near
collinearity or aliasing between the following parameters, listed with their variance
inflation factors.
NDVI 103.73
69 PREDICT [PRINT=description,predictions,se,lsd;
COMBINATIONS=estimable; LSDLEVEL=5]
Predictions from regression model
These predictions are estimated mean values.
The standard errors are appropriate for interpretation of the predictions as summaries of the data
rather than as forecasts of new observations.
Prediction s.e.
21.22 0.5625
Summary of analysis
Source d.f. s.s. m.s. v.r. F pr.
Regression 3 253.4 84.476 8.67 <.001
Residual 24 233.9 9.744
Total 27 487.3 18.048
Estimates of parameters
Parameter estimate s.e. t(24) t pr.
Constant 20.31 1.95 10.40 <.001
NDSI -12.2 33.9 -0.36 0.722
NDVI 5.8 27.6 0.21 0.836
NDWI3 22.9 29.2 0.78 0.441
Message: the variance of some parameter estimates is seriously inflated, due to near
collinearity or aliasing between the following parameters, listed with their variance
inflation factors.
NDVI 110.19
83 PREDICT [PRINT=description,predictions,se,lsd;
COMBINATIONS=estimable; LSDLEVEL=5]
Predictions from regression model
These predictions are estimated mean values.
The standard errors are appropriate for interpretation of the predictions as summaries of the data
rather than as forecasts of new observations.
Prediction s.e.
21.47 0.5899
84 UNITS [NVALUES=*]
85 DELETE [REDEFINE=yes] _rest_
86 READ [PRINT=*; SETNVALUES=y] _rest_
88 RESTRICT Lokasi,FID,Titik,%KA,NDWI,NDWI2,NDWI3,NDVI,NDSI; _rest_
89
90 %PostMessage 1129; 0; 100001 "Sheet Update Completed"
91 "Multiple Linear Regression"
92 MODEL %KA
93 TERMS [FACT=9] NDSI,NDVI,NDWI3
94 FIT [PRINT=model,summary,estimates; CONSTANT=estimate; FPROB=yes;
TPROB=yes; FACT=9]\
95 NDSI,NDVI,NDWI3
Regression analysis
Response variate: %KA
Fitted terms: Constant, NDSI, NDVI, NDWI3
Summary of analysis
Source d.f. s.s. m.s. v.r. F pr.
Regression 3 216.5 72.15 7.21 0.001
Residual 23 230.1 10.00
Total 26 446.6 17.18
Estimates of parameters
Parameter estimate s.e. t(23) t pr.
Constant 19.96 2.06 9.71 <.001
NDSI -17.0 35.2 -0.48 0.634
NDVI 2.9 28.3 0.10 0.919
NDWI3 21.8 29.6 0.74 0.469
Message: the variance of some parameter estimates is seriously inflated, due to near
collinearity or aliasing between the following parameters, listed with their variance
inflation factors.
NDVI 104.09
96 PREDICT [PRINT=description,predictions,se,lsd;
COMBINATIONS=estimable; LSDLEVEL=5]
Predictions from regression model
These predictions are estimated mean values.
The standard errors are appropriate for interpretation of the predictions as summaries of the data
rather than as forecasts of new observations.
Prediction s.e.
21.70 0.6087
97 UNITS [NVALUES=*]
98 DELETE [REDEFINE=yes] _rest_
99 READ [PRINT=*; SETNVALUES=y] _rest_
101 RESTRICT Lokasi,FID,Titik,%KA,NDWI,NDWI2,NDWI3,NDVI,NDSI; _rest_
102
103 %PostMessage 1129; 0; 100001 "Sheet Update Completed"
104 "Multiple Linear Regression"
105 MODEL %KA
106 TERMS [FACT=9] NDSI,NDVI,NDWI3
107 FIT [PRINT=model,summary,estimates; CONSTANT=estimate; FPROB=yes;
TPROB=yes; FACT=9]\
108 NDSI,NDVI,NDWI3
Regression analysis
Response variate: %KA
Fitted terms: Constant, NDSI, NDVI, NDWI3
Summary of analysis
Source d.f. s.s. m.s. v.r. F pr.
Regression 3 204.1 68.04 6.73 0.002
Residual 22 222.4 10.11
Total 25 426.5 17.06
Estimates of parameters
Parameter estimate s.e. t(22) t pr.
Constant 18.98 2.35 8.07 <.001
NDSI -31.0 38.9 -0.80 0.433
NDVI -6.6 30.5 -0.22 0.830
NDWI3 14.0 31.1 0.45 0.656
Message: the variance of some parameter estimates is seriously inflated, due to near
collinearity or aliasing between the following parameters, listed with their variance
inflation factors.
NDVI 107.12
The standard errors are appropriate for interpretation of the predictions as summaries of the data
rather than as forecasts of new observations.
Prediction s.e.
21.87 0.6235
Summary of analysis
Source d.f. s.s. m.s. v.r. F pr.
Regression 3 196.9 65.64 6.20 0.003
Residual 21 222.2 10.58
Total 24 419.1 17.46
Estimates of parameters
Parameter estimate s.e. t(21) t pr.
Constant 18.80 2.78 6.75 <.001
NDSI -33.4 43.7 -0.76 0.453
NDVI -8.4 33.9 -0.25 0.808
NDWI3 12.1 35.2 0.34 0.736
Message: the variance of some parameter estimates is seriously inflated, due to near
collinearity or aliasing between the following parameters, listed with their variance
inflation factors.
NDVI 110.81
The standard errors are appropriate for interpretation of the predictions as summaries of the data
rather than as forecasts of new observations.
Prediction s.e.
21.97 0.6505
139 SDISCRIMINATE
[PRINT=summary,steps,validation,specificity,discrimination;
PLOT=errorrate,\
140 specificity,steps,discriminant;
DDISCRIMINANT=means,mlabels,scores,confidence; XROOT=1;\
141 YROOT=2; METHOD=forward; CRITERION=wilkslambda; MODELCHOICE=optimal;
VALIDATIONMETHOD=bootstrap;\
142 NSELECT=4; NSIMULATIONS=!(20,50); NCROSSVALIDATIONGROUPS=10; SEED=0]
DATA=!P(%KA,\
143 NDSI,NDVI,NDWI3); GROUPS=10; FORCED=!P(NDSI,NDVI,NDWI3)
Fault 4, code VA 11, statement 1 on line 143
Command: SDISCRIMINATE [PRINT=summary,steps,validation,specificity,discriminatio
Invalid or incompatible type(s).
Structure 10 of type scalar, should be of type factor.
(See the GROUPS parameter of the statement.)
144 SDISCRIMINATE
[PRINT=summary,steps,validation,specificity,discrimination;
PLOT=errorrate,\
145 specificity,steps,discriminant;
DDISCRIMINANT=means,mlabels,scores,confidence; XROOT=1;\
146 YROOT=2; METHOD=forward; CRITERION=wilkslambda; MODELCHOICE=optimal;
VALIDATIONMETHOD=bootstrap;\
147 NSELECT=4; NSIMULATIONS=!(20,50); NCROSSVALIDATIONGROUPS=10; SEED=0]
DATA=!P(%KA,\
148 NDSI,NDVI,NDWI3); GROUPS=3; FORCED=!P(NDSI,NDVI,NDWI3)
Fault 5, code VA 11, statement 1 on line 148
Command: SDISCRIMINATE [PRINT=summary,steps,validation,specificity,discriminatio
Invalid or incompatible type(s).
Structure 3 of type scalar, should be of type factor.
(See the GROUPS parameter of the statement.)
149 SDISCRIMINATE
[PRINT=summary,steps,validation,specificity,discrimination;
PLOT=errorrate,\
150 specificity,steps,discriminant;
DDISCRIMINANT=means,mlabels,scores,confidence; XROOT=1;\
151 YROOT=2; METHOD=forward; CRITERION=wilkslambda; MODELCHOICE=optimal;
VALIDATIONMETHOD=bootstrap;\
152 NSELECT=4; NSIMULATIONS=!(20,50); NCROSSVALIDATIONGROUPS=10; SEED=0]
DATA=!P(%KA,\
153 NDSI,NDVI,NDWI3); GROUPS=4; FORCED=!P(NDSI,NDVI,NDWI3)
Fault 6, code VA 11, statement 1 on line 153
Command: SDISCRIMINATE [PRINT=summary,steps,validation,specificity,discriminatio
Invalid or incompatible type(s).
Structure 4 of type scalar, should be of type factor.
(See the GROUPS parameter of the statement.)
154 SDISCRIMINATE
[PRINT=summary,steps,validation,specificity,discrimination;
PLOT=errorrate,\
155 specificity,steps,discriminant;
DDISCRIMINANT=means,mlabels,scores,confidence; XROOT=1;\
156 YROOT=2; METHOD=forward; CRITERION=wilkslambda; MODELCHOICE=optimal;
VALIDATIONMETHOD=bootstrap;\
157 NSELECT=4; NSIMULATIONS=!(20,50); NCROSSVALIDATIONGROUPS=10; SEED=0]
DATA=!P(%KA,\
158 NDSI,NDVI,NDWI3); GROUPS=4; FORCED=!P(NDSI,NDVI,NDWI3,%KA)
Fault 7, code VA 11, statement 1 on line 158
Command: SDISCRIMINATE [PRINT=summary,steps,validation,specificity,discriminatio
Invalid or incompatible type(s).
Structure 4 of type scalar, should be of type factor.
(See the GROUPS parameter of the statement.)