6.2.1 Model Kedua dengan Analisis
Spatial Auto Regressive Model menggunakan matriks W1 ketetanggaan
Regression Summary for Dependent Variable: Y1 R= .95722167 R²= .91627333 Adjusted R²= .89343879
F6,22=40.127 p.00000 Std.Error of estimate: .06486
Beta Std.Err.
B Std.Err.
t22 p-level
of Beta of B
Intercept 0,206285 0,102479
2,01295 0,056517 X3
0,313232 0,178918 0,326917 0,186735
1,7507 0,093932 X7
-0,265906 0,07558 -0,492057 0,139861
-3,51819 0,001938 X1
0,651975 0,174268 0,746667 0,199579
3,74122 0,001131 W1Y
0,151592 0,083615 0,241512 0,133212
1,81298 0,083503 X2
0,152791 0,090276 0,140965 0,083289
1,69248 0,10467
X6 -0,107861
0,075775 -0,163972 0,115195 -1,42344 0,168638
Durbin- Serial
Watson d Corr.
Estimate 2,04245
-0,237078
Distribution of Raw residuals Expected Normal
-0.15 -0.10
-0.05 0.00
0.05 0.10
0.15 0.20
1 2
3 4
5 6
7 8
9 10
11 12
13
N o
of obs
6.2.2 Model Kedua dengan Analisis
Spatial Auto Regressive Model menggunakan matriks W2 kebalikan Jarak
Regression Summary for Dependent Variable: Y1 R= .95222620 R²= .90673473 Adjusted R²= .86942862
F8,20=24.305 p.00000 Std.Error of estimate: .07180
Beta Std.Err.
B Std.Err.
t20 p-level
of Beta of B
Intercept 0,264968 0,134443
1,97086 0,062738 X1
0,512473 0,236652 0,586904 0,271024 2,16551 0,042612
X2 0,154304 0,103799 0,142361 0,095765
1,48657 0,152725 X3
0,450932 0,225117 0,470634 0,234953 2,0031 0,058906
X4 0,04514
0,08457 0,051639 0,096747 0,53375 0,599397
X5 -0,021856
0,07367 -0,003919 0,013209 -0,29668 0,769773
X6 -0,07275 0,090589 -0,110596 0,137714
-0,80308 0,431369 X7
-0,323193 0,080323 -0,598066 0,148638 -4,02365 0,000666
W2Y1 0,043599 0,086775 0,193679
0,38548 0,50244 0,620848
Durbin- Serial
Watson d Corr.
Estimate 1,936862
-0,13301
Distribution of Raw residuals Expected Normal
-0.20 -0.15
-0.10 -0.05
0.00 0.05
0.10 0.15
0.20 1
2 3
4 5
6 7
8 9
10 11
12 13
14
N o
of ob
s
Raw residuals vs.
Y1
Raw residuals = -.0123 + .09327
Y1
Correlation: r = .30539
-0.2 0.0
0.2 0.4
0.6 0.8
1.0 1.2
Y1
-0.20 -0.15
-0.10 -0.05
0.00 0.05
0.10 0.15
0.20
R a
w r
e s
idual s
95 confidence
6.2.3 Model Kedua dengan Analisis