Jawaban Tugas Analisis Regresi Halaman 123-124

Jawaban Tugas Analisis Halaman 123 - 124

Nama : Umi Kholifah

Nim : 201532242

1. Prediksi Kolesterol dengan variabel independent Trigliserid dan Umur (Hal 123)

Variables Entered/Removedb
Model		Variables Entered	Variables Removed	Method
dimension0	1	umur, kadar trigia	.	Enter
a. All requested variables entered.
b. Dependent Variable: kadar ko

Model Summary
Model		R	R Square	Adjusted R Square	Std. Error of the Estimate
dimension0	1	,969a	,939	,923	3,4224
a. Predictors: (Constant), Asupan Kalori, Tinggi Badan, Berat Badan Tanpa Lemak

ANOVAb
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	1437,719	2	718,860	1,110	,339a
	Residual	27208,725	42	647,827
	Total	28646,444	44
a. Predictors: (Constant), umur, kadar trigi
b. Dependent Variable: kadar ko

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	192,155	24,554		7,826	,000
	kadar trigi	,108	,098	,173	1,099	,278
	Umur	,292	,464	,099	,629	,533
a. Dependent Variable: kadar ko

1. Sum Of Square for Regression

      = 28646,444 – 27208,725

      = 1437,719

2. Sum of Square for Residual

        = 27208,725

3. Means Sum of Square for Regression

SSRegr / df = 1437,719 / 2

      = 718,860

4. Means Sum of Square for Residual

SSResd / df = 27208,725 / 42

       = 647,827

5. Nilai F

F = MS-Regr / MS-Resd = 718,860/647,827 = 1,110

6. Nilai r2

= = 0,050

7. Model Regresi

Kadar Cholesterol = 192,155 + 0,108 kadar trigliserida + 0,292 umur

2. Prediksi Berat Badan dengan variabelbindependent Tinggi Badan, Berat Badan tanpa Lemak dan Asupan Kalori (Hal 124)

Variables Entered/Removedb
Model		Variables Entered	Variables Removed	Method
dimension0	1	Asupan Kalori, Tinggi Badan, Berat Badan Tanpa Lemaka	.	Enter
a. All requested variables entered.
b. Dependent Variable: Berat Badan

Model Summary
Model		R	R Square	Adjusted R Square	Std. Error of the Estimate
dimension0	1	,969a	,939	,923	3,4224
a. Predictors: (Constant), Asupan Kalori, Tinggi Badan, Berat Badan Tanpa Lemak

ANOVAb
Model		Sum of Squares	Df	Mean Square	F	Sig.
1	Regression	2148,400	3	716,133	61,141	,000a
	Residual	140,554	12	11,713
	Total	2288,954	15
a. Predictors: (Constant), Asupan Kalori, Tinggi Badan, Berat Badan Tanpa Lemak
b. Dependent Variable: Berat Badan

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	-33,412	14,489		-2,306	,040
	Tinggi Badan	,210	,090	,180	2,339	,037
	Berat Badan Tanpa Lemak	1,291	,150	,785	8,631	,000
	Asupan Kalori	,004	,002	,209	2,375	,035
a. Dependent Variable: Berat Badan

1. Sum o Square for Regression

          = 2288,954 - 140,554 = 2148,400

2. Sum of Square for Residual

        = 140,554

3. Means Sum o Square for Regression

SSRegr / df = 2148,400/3 = 716,133

4. Means Sum of Square for Residual

SSResd / df = 140,554 / 12 = 11,713

5. Nilai F

F = MS-Regr / MS-Resd =

6. Nilai r2

= = 0,938

7. Model Regression

Berat Badan = -33,412 +0,210 Tinggi Badan + 1,291 Berat badan tanpa lemak + 0,004 asupan kalori