Analisis Regresi (Halaman 85-88)
Analisis
Regresi (Halaman 85-88)
1. Pelajari
data dubawah unu, tentukan dependen dan independent variabel serta
·
Hitung Sum of Square for Regression (X)
·
Hitung Sum of Square for Residual
·
Hitung Means Sum of Square for
Regression
·
Hitung Means Sum of Square for Residual
·
Hitung nilai F dan buat kesimpulan
UM
|
CHOL
|
TRIG
|
UM
|
CHOL
|
TRIG
|
UM
|
CHOL
|
TRIG
|
40.0
|
218.0
|
194.0
|
37.0
|
212.0
|
140.0
|
55.0
|
319.0
|
191.0
|
46.0
|
265.0
|
188.0
|
40.0
|
244.0
|
132.0
|
58.0
|
212.0
|
216.0
|
69.0
|
197.0
|
134.0
|
32.0
|
217.0
|
140.0
|
41.0
|
209.0
|
154.0
|
44.0
|
188.0
|
155.0
|
56.0
|
227.0
|
279.0
|
60.0
|
224.0
|
198.0
|
41.0
|
217.0
|
191.0
|
49.0
|
218.0
|
101.0
|
50.0
|
184.0
|
129.0
|
56.0
|
240.0
|
207.0
|
50.0
|
241.0
|
213.0
|
48.0
|
222.0
|
115.0
|
48.0
|
222.0
|
155.0
|
46.0
|
234.0
|
168.0
|
49.0
|
229.0
|
148.0
|
49.0
|
244.0
|
235.0
|
52.0
|
231.0
|
242.0
|
39.0
|
204.0
|
164.0
|
41.0
|
190.0
|
167.0
|
51.0
|
297.0
|
142.0
|
40.0
|
211.0
|
104.0
|
38.0
|
209.0
|
186.0
|
46.0
|
230.0
|
240.0
|
47.0
|
230.0
|
218.0
|
36.0
|
208.0
|
179.0
|
60.0
|
258.0
|
173.0
|
67.0
|
230.0
|
239.0
|
39.0
|
214.0
|
129.0
|
47.0
|
243.0
|
175.0
|
57.0
|
222.0
|
183.0
|
59.0
|
238.0
|
220.0
|
58.0
|
236.0
|
199.0
|
50.0
|
213.0
|
190.0
|
56.0
|
219.0
|
155.0
|
66.0
|
193.0
|
201.0
|
43.0
|
238.0
|
259.0
|
44.0
|
241.0
|
201.0
|
52.0
|
193.0
|
193.0
|
55.0
|
234.0
|
156.0
|
·
UM
= Umur
·
CHOL
= Cholesterol
·
TRIG
= Trigliserida
Jawab
:
Hasil
analisis data dengan regresi seperti dibawah ini
a. Regression
Variables Entered/Removedb
|
|||||||||||||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
||||||||||
1
|
Cholesterola
|
.
|
Enter
|
||||||||||
a. All requested variables entered.
|
|||||||||||||
b.
Dependent Variable: Umur
|
|||||||||||||
Model Summary
|
|||||||||||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|||||||||
1
|
.151a
|
.023
|
.000
|
8.667
|
|||||||||
a. Predictors: (Constant),
Cholesterol
|
|||||||||||||
ANOVAb
|
|||||||||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
||||||||
1
|
Regression
|
75.662
|
1
|
75.662
|
1.007
|
.321a
|
|||||||
Residual
|
3230.249
|
43
|
75.122
|
||||||||||
Total
|
3305.911
|
44
|
|||||||||||
a. Predictors: (Constant),
Cholesterol
|
|||||||||||||
b. Dependent Variable: Umur
|
b. Sum
of Squre Total
3305.911
c. Sum of Square Residul
3 230.249
d. Sum of Square Regression
SSY
– SSE = 3305.911 – 3230.249 = 75.662
e. Mean Sum of Square Regression
SSRegr
/ df = 75.662 / 1 = 75.662
f. Mean Sum of Square Residul
SSResd
/ df = 75.122 / 43 = 75.122
g. Nilai F
F
= MS-Reg / MS-Resd = 75.662 / 75.112 = 1.007
h. Lihat tabel F dengan nomerator= 1 dan
denomerator= 43, nilainya adalah 4.07
i. Nilai Fh = 1.007 < Ft
= 4.07 , nilai p<0,05, sangat tidak bermakna
j. Kesimpulan: Kita menerima hipotesa nol,
dan kita nyatakan bahwa : umur tidak mempengaruhi cholesterol dan trigliserda.
2. Pelajari
data dubawah unu, tentukan dependen dan independent variabel serta
·
Hitung Sum of Square for Regression (X)
·
Hitung Sum of Square for Residual
·
Hitung Means Sum of Square for
Regression
·
Hitung Means Sum of Square for Residual
·
Hitung nilai F dan buat kesimpulan
Mg
Serum
|
Mg
Tulang
|
3,6
|
672
|
2,7
|
567
|
2,45
|
612
|
1,45
|
400
|
0,9
|
236
|
1,4
|
270
|
2,8
|
340
|
2,85
|
610
|
2,6
|
570
|
2,25
|
552
|
1,35
|
277
|
1,6
|
268
|
1,65
|
270
|
1,35
|
215
|
2,8
|
621
|
2,55
|
638
|
1,8
|
524
|
1,4
|
294
|
2,9
|
330
|
1,8
|
240
|
1,5
|
190
|
Jawab
:
Hasil
analisis data dengan regresi seperti dibawah ini
a.
Regression
Variables Entered/Removedb
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1
|
Mg Tulanga
|
.
|
Enter
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
a. All requested variables
entered.
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
b. Dependent Variable: Mg Serum
Model Summary
b. Sum
of Squre Total
10.342
c.
Sum of Square Residul
4.268
d.
Sum of Square Regression
SSY
– SSE = 10.342 – 4.268 = 6.075
e.
Mean Sum of Square Regression
SSRegr
/ df = 6.075 / 1 = 6.075
f.
Mean Sum of Square Residul
SSResd
/ df = 4.268 / 19 = 0.225
g.
Nilai F
F
= MS-Reg / MS-Resd = 6.075 / 0.225 = 27.047
h. Lihat tabel F dengan nomerator= 1 dan
denomerator= 19, nilainya adalah 4.38
i. Nilai Fh = 27.047 > Ft = 4.38 , nilai p<0,05,
sangat bermakna
j. Kesimpulan: Kita menolak hipotesa nol,
dan kita nyatakan bahwa : Mg serum mempengaruhi Mg tulang.
|
Komentar
Posting Komentar