Tugas Unreg Halaman 85-88 sesi 01

ENI SETIA RINI

2015-32-0 79

TUGAS ANALISIS REGRESI HALAMAN 85-88

SESI 01

1. Pelajari data dibawahini, tentukandependendan independent variabelserta

· 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

JAWABAN CHOLESTEROL DAN UMUR

Regression

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	25.51371
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

Sum of Square Total adalah

Sum of Square Residual adalah

Sum of Square Regression adalah

655.625

Mean Sum of Square Regression =

Mean Sum of Square Residual =

LihatTabel F dengan numerator =1 dandenomerator = 43, nilainyaadalah 4.08

Nilai F hitung = 1.007 > F t = 4.08, nilai p<0.05 sangatbermakna, lihatkolom sig.= 0.000

Artinya, kitamenolakhipotesanoldankitanyatakanbahwa : Umurmempengaruhicholesterol.

JAWABAN TRIGLISERIDA DAN UMUR

Regression

Variables Entered/Removedb
Model	Variables Entered	Variables Removed	Method
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
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

Sum of Square Total adalah

Sum of Square Residual adalah

67148.000

Sum of Square Regression adalah

Mean Sum of Square Regression =

Mean Sum of Square Residual =

LihatTabel F dengan numerator =1 dandenomerator = 43, nilainyaadalah 4.08

Nilai F hitung = 4.283> F t = 4.08, nilai p<0.05 sangatbermakna, lihatkolom sig.= 0.000

Artinya, kitamenolakhipotesanoldankitanyatakanbahwa : UmurmempengaruhiTrigliserida

2. Pelajari data dibawahini, tentukandependendan independent variabelserta,

· Hitung Sum of Square fir Regression ( X )

• Hitung Sum of Square for Residual

· Hitung Means Sum of Square for Regression ( X )

• Hitung Means Sum of Aquare for Residual
• Hitungnilai F danhuatkesimpulan

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

Regression

Variables Entered/Removed(b)

Model	Variables Entered	Variables Removed	Method
1	MgSerum(a)	.	Enter

a All requested variables entered.

b Dependent Variable: MgTulang

Model Summary

Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.766(a)	.587	.566	111.89420

a Predictors: (Constant), MgSerum

ANOVA(b)

Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	338633.876	1	338633.876	27.047	.000(a)
	Residual	237885.934	19	12520.312
	Total	576519.810	20

a Predictors: (Constant), MgSerum

b Dependent Variable: MgTulang

Coefficients(a)

Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta	B	Std. Error
1	(Constant)	37.550	76.410		.491	.629
	MgSerum	180.948	34.793	.766	5.201	.000

a Dependent Variable: MgTulang

Sum of Square Total adalah

Sum of Square Residual adalah

Sum of Square Regression adalah

Mean Sum of Square Regression =

Mean Sum of Square Residual =

NilaiFh = 27,0467> Ft = 4,38, nilai p<0,05 sangatbermakna, kolom sig = 0,000

Artinyakitamenolakhipotesanol, dankitanyatakanbahwa: Mg Serum mempengaruhi Mg Tulang.

3. Pelajari data di bawahini, tentukandependendanindependenvariabelserta,

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. Hitungnilai F buatkesimpulan

Data beratbadandankadarglukosadarah orang dewasasebagaiberikut:

Subjek	BeratBadan (kg)	Glukosa mg/100 ml
1	64	108
2	75.3	109
3	73	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

Regression

Variables Entered/Removeda
Model	Variables Entered	Variables Removed	Method
1	GLUKOSA mg/100 mlb	.	Enter
a. Dependent Variable: BERAT BADAN
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.484a	.234	.180	8.81001
a. Predictors: (Constant), GLUKOSA mg/100 ml

ANOVAa
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	332.669	1	332.669	4.286	.057b
	Residual	1086.628	14	77.616
	Total	1419.297	15
a. Dependent Variable: BERAT BADAN
b. Predictors: (Constant), GLUKOSA mg/100 ml

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	30.778	22.609		1.361	.195
	GLUKOSA mg/100 ml	.460	.222	.484	2.070	.057
a. Dependent Variable: BERAT BADAN

Sum Of Square Total adalah

Sum Of Square Residual adalah

Sum of Square Regression adalah

SSY – SSE = 1419.297 - 1086.628 = 332.669

Mean Sum of Square Regression adalah

Mean Sum of Square Residual =

LihatTabel F dengannomerator 1= dandenomerator = 14, nilainyaadalah 4.60

NilaiF_h= 4.28> F_t=4.60, nilai p < 0.05 sangatbermakna, dengannilai Sig.=0.057

Artinyakitamenolak H₀, dankitanyatakanbahwa :Beratbadantidakmempengaruhikadarglukosadarah