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Model > Limited dependen Model > Intyerval regeression
Pada lower bound variable: lgpa
Upper bound variable: ugpa
Pada regressor : select write, rating dan type
OK
Model 1: Interval estimates, using observations 1-30
Lower limit: lgpa, Upper limit: ugpa
Standard errors based on Hessian
Lower limit: lgpa, Upper limit: ugpa
Standard errors based on Hessian
|
Coefficient |
Std. Error |
z |
p-value |
||
|
const
|
0,767043 |
0,415689 |
1,8452 |
0,06500 |
*
|
|
write
|
0,00541538 |
0,00134448 |
4,0279 |
0,00006 |
***
|
|
rating
|
0,0129388 |
0,00863553 |
1,4983 |
0,13405 |
|
|
type
|
0,352657 |
0,0815897 |
4,3223 |
0,00002 |
***
|
|
Chi-square(3)
|
75,73659
|
p-value
|
2,52e-16
|
|
Log-likelihood
|
-33,13699
|
Akaike criterion
|
76,27397
|
|
Schwarz criterion
|
83,27996
|
Hannan-Quinn
|
78,51525
|
sigma = 0,290239 (0,0463201)
Left-unbounded observations: 0
Right-unbounded observations: 0
Bounded observations: 30
Point observations: 0
Test for normality of residual -
Null hypothesis: error is normally distributed
Test statistic: Chi-square(2) = 29,0487
with p-value = 4,92224e-007
Hasil dan intrepetasi sama dengan penggunaan software stata
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