Tugas Anreg Bab 6

Nama : Adnan Rachman
NIM : 201532277
Seksi : 10

Soal Hal 106

Nilai R

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.766a	.587	.566	111.894
a. Predictors: (Constant), MG Serum

           

ANOVAb
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	338633.876	1	338633.876	27.047	.000a
	Residual	237885.934	19	12520.312
	Total	576519.810	20
a. Predictors: (Constant), MG Serum
b. Dependent Variable: MG Tulang

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	37.550	76.410		.491	.629
	MG Serum	180.948	34.793	.766	5.201	.000
a. Dependent Variable: MG Tulang

 

Grafik

Soal Halaman 107

Variables Entered/Removedb
Model	Variables Entered	Variables Removed	Method
1	berat_badana	.	Enter
a. All requested variables entered.
b. Dependent Variable: glukosa

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.023a	.001	-.071	25.720
a. Predictors: (Constant), berat_badan

ANOVAb
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	4.832	1	4.832	.007	.933a
	Residual	9261.606	14	661.543
	Total	9266.438	15
a. Predictors: (Constant), berat_badan
b. Dependent Variable: glukosa

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	90.674	53.207		1.704	.110
	berat_badan	.058	.683	.023	.085	.933
a. Dependent Variable: glukosa

Grafik

 Tugas 6

1. Lakukan analisa korelasi untuk TDS dan umur serta IMT dan umur

Analisa korelasi TDS dan Umur serta IMT dan Umur

Correlations
		TDS	umur
TDS	Pearson Correlation	1	.730**
	Sig. (2-tailed)		.000
	N	30	30
umur	Pearson Correlation	.730**	1
	Sig. (2-tailed)	.000
	N	30	30
**. Correlation is significant at the 0.01 level (2-tailed).

Nilai korelasi 0,000 < 0,05

Kesimpulan : TDS dan Umur berkorelasi positif dan signifikan

Correlations
		IMT	umur
IMT	Pearson Correlation	1	.799**
	Sig. (2-tailed)		.000
	N	30	30
umur	Pearson Correlation	.799**	1
	Sig. (2-tailed)	.000
	N	30	30
**. Correlation is significant at the 0.01 level (2-tailed).

Nilai korelasi 0,000 < 0,05

Kesimpulan : IMT dan Umur berkorelasi positif dan signifikan

2.  Hitung nilai r, nilai ß₁, Uji t untuk membuktikan H₀ :  ß₁₌ 0 dan H₀ : r = 0

 

t-hitung = 5,193 > t-tabel n:19 = 1,73

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.766a	.587	.566	.47393
a. Predictors: (Constant), MgTulang

ANOVAa
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	6.075	1	6.075	27.047	.000b
	Residual	4.268	19	.225
	Total	10.342	20
a. Dependent Variable: MgSerum
b. Predictors: (Constant), MgTulang

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	.737	.278		2.647	.016
	MgTulang	.003	.001	.766	5.201	.000
a. Dependent Variable: MgSerum

Nilai r = 0,766

Nilai ß₁ = 0,003

Uji t untukmembuktikan H₀ :  ß₁₌ 0

t = ß₁    = 0,003

SE     0,001

            = 3

Uji t untukmembuktikan H₀ : r = 0

 

t-hitung = 5,193 > t-tabel n:19 = 1,73

Dapat disimpulkan bahwa kadar Mg serum dan Mg tulang berkorelasi positif dan bermakna

 

 3. Hitung nilai r, nilai ß₁, Uji t untuk membuktikan H₀ :  ß₁₌ 0 dan H₀ : r = 0

 

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.487a	.237	.183	9.266
a. Predictors: (Constant), beratbadan

ANOVAa
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	373.644	1	373.644	4.352	.056b
	Residual	1202.106	14	85.865
	Total	1575.750	15
a. Dependent Variable: glukosa
b. Predictors: (Constant), beratbadan

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	61.681	19.169		3.218	.006
	beratbadan	.513	.246	.487	2.086	.056
a. Dependent Variable: glukosa

Nilai r = 0,487

Nilai ß₁ = 0,513

Uji t untukmembuktikanH₀ :  ß₁₌ 0

t = ß₁    = 0,513

SE     0,246

            = 2,075

Uji t untukmembuktikanH₀ : r = 0

t-hitung = 2,087 > t-tabel n:14 = 1,76

Dapat disimpulkan bahwa berat badan dan kadar glukosa berkorelasi positif dan bermakna