Nama : Harmaidar
Nim :
201532269
Tugas Unreg 5
1.
Pelajari data dibawah ini, tentukan
depemden dan independent variable serta
·
Hitung Sum of Square for regression (X)
·
Hitung Sum of Square for residual
·
Hitung Means sum of Square for
regression (X)
·
Hitung Means Sum of Square for residual
·
Hitung nilai F dan buat kesimpulan
|
UM
|
CHOL
|
TRIG
|
|
40
|
218
|
194
|
|
46
|
265
|
188
|
|
69
|
197
|
134
|
|
44
|
188
|
155
|
|
41
|
217
|
191
|
|
56
|
240
|
207
|
|
48
|
222
|
155
|
|
49
|
244
|
235
|
|
41
|
190
|
167
|
|
38
|
209
|
186
|
|
36
|
208
|
179
|
|
39
|
214
|
129
|
|
59
|
238
|
220
|
|
56
|
219
|
155
|
|
44
|
241
|
201
|
|
37
|
212
|
140
|
|
40
|
244
|
132
|
|
32
|
217
|
140
|
|
56
|
227
|
279
|
|
49
|
218
|
101
|
|
50
|
241
|
213
|
|
46
|
234
|
168
|
|
52
|
231
|
242
|
|
51
|
297
|
142
|
|
46
|
230
|
240
|
|
60
|
258
|
173
|
|
47
|
243
|
175
|
|
58
|
236
|
199
|
|
66
|
193
|
201
|
|
52
|
193
|
193
|
|
55
|
319
|
191
|
|
58
|
212
|
216
|
|
41
|
209
|
154
|
|
60
|
224
|
198
|
|
50
|
184
|
129
|
|
48
|
222
|
115
|
|
49
|
229
|
148
|
|
39
|
204
|
164
|
|
40
|
211
|
104
|
|
47
|
230
|
218
|
|
67
|
230
|
239
|
|
57
|
222
|
183
|
|
50
|
213
|
190
|
|
43
|
238
|
259
|
|
55
|
234
|
156
|
|
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
|
8.66730
|
|
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
|
|
|
|
|
||
|
Coefficientsa
|
||||||
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
|
B
|
Std. Error
|
Beta
|
||||
|
1
|
(Constant)
|
37.435
|
11.640
|
|
3.216
|
.002
|
|
Cholesterol
|
.051
|
.051
|
.151
|
1.004
|
.321
|
|
|
a.
Dependent Variable: Umur
|
|
|
|
|
||
Sum of Square total: SSY= 3305,911
Sum of Square Residual: SSE= 3230,249
Sum of Square Regression: SSY-SSE=
3305,911-3230,249= 75,662
Mean Sum of Square Regression: SSReg/df= 75,662/1=
75,662
Mean Sum of Square Resudial: SSResd/df= 3230,249/43=
75,122
F=MS-Reg/MS-Resd= 75,622/75,122= 1,007
2.
Pelajari data dibawah ini, tentukan
depemden dan independent variable serta
·
Hitung Sum of Square for regression (X)
·
Hitung Sum of Square for residual
·
Hitung Means sum of Square for
regression (X)
·
Hitung Means Sum of Square for residual
·
Hitung nilai F dan buat kesimpulan
|
Mg Serum
|
Mg Tulang
|
|
3,60
|
672
|
|
2,7
|
567
|
|
2,45
|
612
|
|
1,45
|
400
|
|
0,90
|
236
|
|
1,40
|
270
|
|
2,80
|
340
|
|
2,85
|
610
|
|
2,60
|
570
|
|
2,25
|
552
|
|
1,35
|
277
|
|
1,60
|
268
|
|
1,65
|
270
|
|
1,35
|
215
|
|
2,80
|
621
|
|
2,55
|
638
|
|
1,80
|
524
|
|
1,40
|
294
|
|
2,90
|
330
|
|
1,80
|
240
|
|
1,50
|
190
|
Hasil Analisa data dengan regresi seperti di
bawah ini
VARIABLES ENTERED/REMOVED (b)
|
Model
|
Variables Entered
|
Variables Removed
|
Method
|
|
1
|
Mg Serum (a)
|
.
|
Enter
|
a. All requested variables entered
b. Dependent Variable:
Mg Tulang
MODEL SUMMARY
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
.766 (a)
|
.587
|
.566
|
111.894
|
a. Predictors: (Constant), Mg Serum
ANOVA (b)
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
|
Regression
|
338633.876
|
1
|
338633.876
|
27.047
|
.000 (a)
|
|
|
Residual
|
237885.934
|
19
|
12520.312
|
|||
|
Total
|
576519.810
|
20
|
||||
a.
Predictors: (Constant), Mg
Serum
b.
Dependent Variable: Mg Tulang
COEFFICIENTS (a)
|
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
|
B
|
Std.
Error
|
Beta
|
||||
|
1
|
(Constant)
|
37.550
|
76.410
|
|
.491
|
.629
|
|
MgS
|
180.948
|
34.793
|
.766
|
5.201
|
.000
|
|
a.
Dependent Variable: MgT
Sum
of Square Total
Sum
of Square Residual
Sum of Square Regression
SSY - SSE
= 576519.810 – 237885.934 = 338633.876
Mean Sum of Square for Regression
Mean Sum of Square for Residual
Nilai F
Nilai Fhitung
= 27.046 > Ftabel = 4.38, nilai p < 0.05 sangat
bermakna, dengan nilai Sig. = 0.000.
Kesimpulan : Artinya hipotesa nol
ditolak, maka dinyatakan bahwa :Mg
Serum mempengaruhi Mg Tulang.
3.
Pelajari
data di bawah ini, tentukan dependen dan independen variabel serta
a.
Hitung
Sum of Square for Regression
b.
Hitung
Sum of Square for Residual
c.
Hitung
Means Sum of Square for Regression
d.
Hitung
Means Sum of Square for Residual
e.
Hitung
nilai F buat kesimpulan
Data
berat badan dan kadar glukosa darah orang dewasa sebagai berikut:
|
Subjek
|
Berat Badan (kg)
|
Glukosa mg/100ml
|
|
1
|
64,0
|
108
|
|
2
|
75,3
|
109
|
|
3
|
73,0
|
104
|
|
4
|
82,1
|
102
|
|
5
|
76,2
|
105
|
|
6
|
95,7
|
121
|
|
7
|
59,4
|
79
|
|
8
|
93,4
|
107
|
|
9
|
82,1
|
101
|
|
10
|
78,9
|
85
|
|
11
|
76,7
|
99
|
|
12
|
82,1
|
100
|
|
13
|
83,9
|
108
|
|
14
|
73
|
104
|
|
15
|
64,4
|
102
|
|
16
|
77,6
|
87
|
Berat
badan sebagai variabel Independen dan Glukosa darah sebagai variabel Dependen
|
Model Summary
|
||||
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the
Estimate
|
|
1
|
.484a
|
.234
|
.180
|
9.276
|
|
|
||||
|
ANOVAb
|
||||||
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
368.798
|
1
|
368.798
|
4.286
|
.057a
|
|
Residual
|
1204.639
|
14
|
86.046
|
|
|
|
|
Total
|
1573.437
|
15
|
|
|
|
|
|
|
||||||
a.
Sum
of Square for Regression
SSY-SSE=
1573.437-1204.639=368.798
b.
Sum
of Square for Residual
SSE= 1204.639
c.
Means
Sum of Square for Regression
SSReg/df= 368.798
d.
Means
Sum of Square for Residual
SSRes/df=86.046
e.
Nilai
F
Lihat
Tabel F dengan nomerator =1 dan denomerator=14, nilainya adalah 4,60
Nilai
Fh=4.286<Ft= 4,60, nilai p 0 .057>0.05 Maka Ho
diterima berat badan tidak mempengaruhi glukosa darah.
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