SOAL
2 HALAMAN 191
Variabel
|
β
|
S
|
Partial F
|
Umur
|
1.02892
|
0.50177
|
4,205
|
IMT
|
10.45104
|
9.1311
|
1.310
|
RKK
|
-0.53744
|
23.23004
|
0.00053
|
Umur*RKK
|
0.43733
|
0.7132
|
0.376
|
IMT*RKK
|
-3.70682
|
10.76763
|
0,11851
|
Intersep
|
48.61271
|
|
|
X1
= Umur
X2
= IMT
X3
= RKK
X4
= Umur*RKK
X5
=IMT*RKK
Model
Regresi:
Y = 48.61271+
1.02892+ 0.50177Umur
Y = 48.61271+
10.45104+ 9.1311 IMT
Y=
48.61271-0.53744+23.23004 RKK
Y= 48.61271+0.43733+0.7132
Umur*RKK
Y=
48.61271-3.70682+10.76763 IMT*RKK
Y
= β0 + β1X1 + β2X2 + β3X3
+ β4X4 + β5X5
= 48.61271 + 1.02892 X1 +
10.45104 X2 + -0.53744 X3+
0.43733 X4+ 3.70682 X5
= 48.61271 + 1.02892 Umur + 10.45104
IMT + -0.53744 RKK + 0.43733 Umur*RKK +
3.70682 IMT*RKK
Interpretasi Hasil:
Umur:Thitngung>Ttabel: Ho
ditolak
IMT: Thitung<Ttabel: Ho diterima
RKK: Thitung<Ttabel: Ho diterima
Umur*RKK: Thitung<Ttabel: Ho
diterima
IMT*RKK: Thitung<Ttabel: Ho
diterima
Kesimpulan:
Penambahan
variabel umur kedalam model bermakna signifikan, Variabel yang signifikan ialah
variabel umur karena nilai F>1,96, nilai t >4,2, Sehingga variabel
penting untuk model regresi.
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