TUGAS ANALISIS REGRESI PERTEMUAN 5 (SEMESTER GENAP 2016-2017
Nama :
Yuanris Tanaem
Tugas Analisis Regresi Halaman 85
1. Pelajari data
dibawah ini, tentukan depend an independent variable serta:
·
Hitung Sum of Square for Regression (X)
·
Hitung Sum of Square for Residual
·
HItung Mean Sum of Square for Regression (X)
·
Hitung Mean Sum of Square for Residual
·
Hitung nilai F dan buat kesimpulan
UM
CHOL
TRIG
UM
CHOL
TRIG
UM
CHOL
TRIG
40
218
194
37
212
140
55
319
191
46
265
188
40
244
132
58
212
216
69
197
134
32
217
140
41
209
154
44
188
155
56
227
279
60
224
198
41
217
191
49
218
101
50
184
129
56
240
207
50
241
213
48
222
115
48
222
155
46
234
168
49
229
148
49
244
235
52
321
242
39
204
164
41
190
167
51
297
142
40
211
104
38
209
186
46
230
240
47
230
218
36
208
179
60
258
173
67
230
239
39
214
129
47
243
175
57
222
183
59
238
220
58
236
199
50
213
190
56
219
155
66
193
201
43
238
259
44
241
201
52
193
193
55
234
156
Jawaban :
Uji ANOVA umur dan cholesterol
UM
|
CHOL
|
TRIG
|
UM
|
CHOL
|
TRIG
|
UM
|
CHOL
|
TRIG
|
40
|
218
|
194
|
37
|
212
|
140
|
55
|
319
|
191
|
46
|
265
|
188
|
40
|
244
|
132
|
58
|
212
|
216
|
69
|
197
|
134
|
32
|
217
|
140
|
41
|
209
|
154
|
44
|
188
|
155
|
56
|
227
|
279
|
60
|
224
|
198
|
41
|
217
|
191
|
49
|
218
|
101
|
50
|
184
|
129
|
56
|
240
|
207
|
50
|
241
|
213
|
48
|
222
|
115
|
48
|
222
|
155
|
46
|
234
|
168
|
49
|
229
|
148
|
49
|
244
|
235
|
52
|
321
|
242
|
39
|
204
|
164
|
41
|
190
|
167
|
51
|
297
|
142
|
40
|
211
|
104
|
38
|
209
|
186
|
46
|
230
|
240
|
47
|
230
|
218
|
36
|
208
|
179
|
60
|
258
|
173
|
67
|
230
|
239
|
39
|
214
|
129
|
47
|
243
|
175
|
57
|
222
|
183
|
59
|
238
|
220
|
58
|
236
|
199
|
50
|
213
|
190
|
56
|
219
|
155
|
66
|
193
|
201
|
43
|
238
|
259
|
44
|
241
|
201
|
52
|
193
|
193
|
55
|
234
|
156
|
Variables Entered/Removedb
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
UMURa
|
.
|
Enter
|
a.
All requested variables entered.
|
|||
b. Dependent
Variable: CHOLESTEROL
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.151a
|
.023
|
.000
|
25.514
|
a.
Predictors: (Constant), UMUR
|
ANOVAb
|
||||||
Model
|
Sum of Squares
|
Df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
655.625
|
1
|
655.625
|
1.007
|
.321a
|
Residual
|
27990.819
|
43
|
650.949
|
|
|
|
Total
|
28646.444
|
44
|
|
|
|
|
a.
Predictors: (Constant), UMUR
|
||||||
b. Dependent
Variable: CHOLESTEROL
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
T
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
204.048
|
22.093
|
|
9.236
|
.000
|
UMUR
|
.445
|
.444
|
.151
|
1.004
|
.321
|
|
a. Dependent
Variable: CHOLESTEROL
|
·
Hitung Sum of Square for Regression (X)
·
Hitung Sum of Square for Residual
·
HItung Mean Sum of Square for Regression (X)
·
Hitung Mean Sum of Square for Residual
·
Hitung nilai F dan buat kesimpulan
Nilai
Fh= 1,007 < Ft=4,07, nilai p>0,05 sangat bermakna,
Sig. =0,306
Artinya, kita
menerima hipotesa nol dan kita nyatakan bahwa: umur tidak mempengaruhi
kolestrol.
Uji ANOVA umur dan trigliserida
Regression
Variables Entered/Removedb
|
||||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
|
dimension0
|
1
|
Umura
|
.
|
Enter
|
a. All requested variables
entered.
|
||||
b. Dependent Variable:
Trigliserida
|
||||
Model Summary
|
|||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
dimension0
|
1
|
,301a
|
,091
|
,069
|
39,51685
|
a. Predictors: (Constant), Umur
|
|||||
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
6687,911
|
1
|
6687,911
|
4,283
|
,045a
|
Residual
|
67148,000
|
43
|
1561,581
|
|
|
|
Total
|
73835,911
|
44
|
|
|
|
|
a. Predictors: (Constant), Umur
|
||||||
b. Dependent Variable:
Trigliserida
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
110,198
|
34,218
|
|
3,220
|
,002
|
Umur
|
1,422
|
,687
|
,301
|
2,069
|
,045
|
|
a. Dependent Variable:
Trigliserida
|
·
Hitung Sum of Square for Regression (X)
·
Hitung Sum of Square for Residual
·
HItung Mean Sum of Square for Regression (X)
·
Hitung Mean Sum of Square for Residual
·
Hitung nilai F dan buat kesimpulan
Nilai
Fh= 4,282 > Ft=4,07, nilai p<0,05 sangat bermakna,
Sig. =0,045
Artinya, kita
menerima hipotesa nol dan kita nyatakan bahwa: umur mempengaruhi trigliserida.
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