jawaban analisis regresi hal 106-107

Jawaban tugas analisis regresi halaman 106-107
dapa dibuka di link dibawah ini :
https://docs.google.com/document/d/1StId_CuT4Sb4XtU0y8Ux_wVdVQ5q0p_DO7mORyW9m4I/edit

Tugas Analisis Regresi Hal 85-87

Nama : Umi Kholifah

Nim : 201532242

TUGAS ANALISIS REGRESI HALAMAN 85 - 87

HASIL ANALISA DATA DENGAN REGRESI

1.   Umur dengan Kolesterol

Regression

Variables Entered/Removedb
Model	Variables Entered	Variables Removed	Method
1	umura	.	Enter
a. All requested variables entered.
b. Dependent Variable: kadar kolesterol

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: kadar kolesterol

Sum Of Square Total adalah  28646,444

a.    Sum Of Square Residual adalah 27990,819

b.   Sum Of Square Regression adalah

SSY – SSE          = 28646,444 - 27990,819 = 655.625

c.    Mean Sum of Square Regression = SSRegr/df = 655,625/1 = 655,625

d.   Mean Sum of Square Residual = SSResd/df  = 27990,819/43 = 650,949

e.    F = MS-Regr/MS-Resd = 655.625/650,949 = 1,007

Ftabel  = 4,07à Jadi nilai Fh = 1,007 < Ft = 4,07, nilai p>0,05 tidak bermakna (sig=0,321) artinya kita menerima hipotesa nol dan kita nyatakan bahwa : umur tidak mempengaruhi kadar kolesterol.

2.      Umur dengan Trigliserida

Regression

Variables Entered/Removedb
Model	Variables Entered	Variables Removed	Method
1	umura	.	Enter
a. All requested variables entered.
b. Dependent Variable: kadar trigliserida

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	,301a	,091	,069	39,517
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: kadar trigliserida

Sum Of Square Total adalah  73835,991

a.    Sum Of Square Residual adalah 67148,000

b.   Sum Of Square Regression adalah

 SSY – SSE   = 73835,991 - 67148,000 = 6687,991

c.    Mean Sum of Square Regression = SSRegr/df = 6687,911/1 = 6687,911

d.   Mean Sum of Square Residual = SSResd/df  = 67148,000/43= 1561,5814

e.      F = MS-Regr/MS-Resd = 6687,911/1561,5814 = 4,2827

 Ftabel  = 4,07à Jadi nilai Fh = 4,2827> Ft = 4,07, nilai p<0,05 bermakna (sig=0,045) artinya kita     menolak hipotesa nol dan kita nyatakan bahwa : umur mempengaruhi kadar trigliserida.

3.      Mg Serum dengan Mg Tulang

Regression

Variables Entered/Removedb
Model	Variables Entered	Variables Removed	Method
1	Mg Seruma	.	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	,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

Sum Of Square Total adalah  576519,810

a.    Sum Of Square Residual adalah 237885,934

b.   Sum Of Square Regression adalah

SSY – SSE          = 576519,810 - 237885,934 = 338633,876

c.    Mean Sum of Square Regression = SSRegr/df = 338633,876 /1 = 338633,876

d.   Mean Sum of Square Residual = SSResd/df  =  237885,934/19 = 12520,312

e.    F = MS-Regr/MS-Resd = 338633,876/12520,312 = 27,047

Ftabel  = 4,38à Jadi nilai Fh = 27,047 > Ft = 4,38, nilai p<0,05 bermakna (sig=0,000) artinya kita menolak hipotesa nol dan kita nyatakan bahwa : Mg serum mempengaruhi Mg tulang

4.      Berat badan dengan Glukosa Darah

 Regression

Variables Entered/Removedb
Model		Variables Entered	Variables Removed	Method
dimension0	1	berat badan (kg)a	.	Enter
a. All requested variables entered.
b. Dependent Variable: glukosa mg/100 mL

Model Summary
Model		R	R Square	Adjusted R Square	Std. Error of the Estimate
dimension0	1	,484a	,234	,180	9,276
a. Predictors: (Constant), berat badan (kg)

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. Predictors: (Constant), berat badan (kg)
b. Dependent Variable: glukosa mg/100 mL

Sum Of Square Total adalah 1573,437

a.    Sum Of Square Residual adalah 1204,639

b.   Sum Of Square Regression adalah

SSY – SSE          = 1573,437 - 1204,639 = 368,798

c.    Mean Sum of Square Regression = SSRegr/df = /1 = 368,798/1 = 368,798

d.   Mean Sum of Square Residual = SSResd/df  =  1204,639/14 = 86,046

e.    F = MS-Regr/MS-Resd = 368,798 /  86,046 = 4,286

Ftabel  = 4,60 à Jadi nilai Fh = 4,286< Ft = 4,60, nilai p>0,05 tidak bermakna (sig=0,057) artinya kita menerima hipotesa nol dan kita nyatakan bahwa : berat badan tidak mempengaruhi glukosa darah orang dewasa.