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
|
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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