Berikut datanya:
lgpa |
ugpa |
write |
rating |
type
|
2,5 |
3,0 |
175,0 |
54,0 |
general
|
3,4 |
3,8 |
125,0 |
68,0 |
academic
|
2,5 |
3,0 |
70,0 |
48,0 |
general
|
0,0 |
2,0 |
50,0 |
52,0 |
vocational
|
3,0 |
3,4 |
70,0 |
49,0 |
academic
|
3,4 |
3,8 |
205,0 |
53,5 |
general
|
3,8 |
4,0 |
180,0 |
72,0 |
academic
|
2,0 |
2,5 |
50,0 |
50,0 |
academic
|
3,0 |
3,4 |
155,0 |
57,5 |
general
|
3,4 |
3,8 |
105,0 |
69,0 |
academic
|
2,0 |
2,5 |
55,0 |
54,5 |
vocational
|
2,0 |
2,5 |
90,0 |
51,5 |
vocational
|
2,0 |
2,5 |
70,0 |
52,0 |
vocational
|
2,5 |
3,0 |
135,0 |
71,0 |
general
|
2,5 |
3,0 |
150,0 |
61,0 |
academic
|
2,5 |
3,0 |
175,0 |
54,0 |
general
|
3,4 |
3,8 |
125,0 |
68,0 |
academic
|
2,5 |
3,0 |
70,0 |
48,0 |
general
|
2,0 |
2,5 |
95,0 |
52,0 |
vocational
|
3,0 |
3,4 |
70,0 |
49,0 |
academic
|
3,4 |
3,8 |
205,0 |
53,5 |
general
|
3,8 |
4,0 |
180,0 |
72,0 |
academic
|
2,0 |
2,5 |
50,0 |
50,0 |
academic
|
3,0 |
3,4 |
155,0 |
57,5 |
general
|
3,4 |
3,8 |
105,0 |
69,0 |
academic
|
2,0 |
2,5 |
55,0 |
54,5 |
vocational
|
2,0 |
2,5 |
90,0 |
51,5 |
vocational
|
2,0 |
2,5 |
70,0 |
52,0 |
vocational
|
2,5 |
3,0 |
135,0 |
71,0 |
general
|
2,5 |
3,0 |
150,0 |
61,0 |
academic
|
Statistic> linier model and related > censored regression > interval regression
Pada dependen variable 1: select lgpa
Dependen variable 2: select variabel ugpa
Pada independen variabel pilih write rating dan type
OK
Berikut hasilnya:
Dapat dilihat dari nilai diatas bahwa
yang signifikan mempengaruhi nilai GPA adalah wite dan rating. Untuk
intrepetasi sama dengan regresi linier berganda.
sumber: manual stata (www.stata.com)
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