tugas anreg 10

HALAMAN 187

1. a.Tinggi protein

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	52.125	2.320		22.464	.000
	umur	1.320	.125	.954	10.571	.000
a. Dependent Variable: panjang

Y= 52.125 + 1.320 umur

 Rendah protein 

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	51.555	1.828		28.198	.000
	umur	.885	.099	.938	8.947	.000
a. Dependent Variable: panjang

Y= 51.555 + 0 .885 umur

1.b

ANOVAb
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	2552.074	2	1276.037	89.667	.000a
	Residual	327.311	23	14.231
	Total	2879.385	25
a. Predictors: (Constant), jenis protein, umur
b. Dependent Variable: panjang

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	47.436	1.854		25.580	.000
	umur	1.129	.091	.874	12.427	.000
	jenis protein	7.819	1.480	.371	5.283	.000
a. Dependent Variable: panjang

Y= 47.436 + 1.129 umur + 7.819 jenis protein

1.c.

ANOVAb
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	354.462	1	354.462	3.369	.079a
	Residual	2524.923	24	105.205
	Total	2879.385	25
a. Predictors: (Constant), jenis protein
b. Dependent Variable: panjang

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	66.462	2.845		23.363	.000
	jenis protein	7.385	4.023	.351	1.836	.079
a. Dependent Variable: panjang

F hitung = 3.369 < F tabel 4.28 maka menerima hipotesa 0 artinya kita menyatakan bahwajenis makanan tidak mempengaruhi panjang badan.

1.d.

ANOVAb
Model		Sum of Squares	Df	Mean Square	F	Sig.
1	Regression	1726.418	2	863.209	17.220	.000a
	Residual	1152.967	23	50.129
	Total	2879.385	25
a. Predictors: (Constant), jenis protein, umur
b. Dependent Variable: panjang

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	59.736	2.347		25.452	.000
	umur	14.571	2.785	.690	5.231	.000
	jenis protein	7.385	2.777	.351	2.659	.014
a. Dependent Variable: panjang

F hitung 17.220 > F tabel 3.05 menolak hipotesa 0   artinya kita menyatakan bahwa jenismakanan dan umur tidak mempengaruhi panjang badan.

ANOVAa
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	1832,788	3	610,929	13,043	,000b
	Residual	1030,437	22	46,838
	Total	2863,225	25
a. Dependent Variable: panjang
b. Predictors: (Constant), INTERAKSI JENIS MAKANAN DAN UMUR, JENIS PROTEIN, UMUR

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	61,629	2,587		23,825	,000
	UMUR	10,771	3,808	,512	2,829	,010
	JENIS PROTEIN	3,700	3,658	,176	1,011	,323
	INTERAKSI JENISMAKANAN DANUMUR	7,783	5,385	,312	1,445	,162
a. Dependent Variable: PANJANG

F hitung=13,043< F tabel 3,05 maka menolak hipotesa 0 artinya kita menyatakan bahwajenis makanan ,umur, dan interaksi mempengaruhi panjang badan.

HALAMAN 188

ANOVAb
Model		Sum of Squares	df	Mean Square		F	Sig.
1	Regression	1161.665	3	387.222		9.7713	.000a
	Residual	2.735	69	.040
	Total	1164.399	72
a. Predictors: (Constant), interaksi BB dan TB, tinggi badan, berat badan
b. Dependent Variable: indeks massa tubuh

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	13.472	1.485		9.071	.000
	berat badan	1.046	.049	2.752	21.260	.000
	tinggi badan	-.092	.010	-.180	-8.893	.000
	interaksi BB danTB	-.004	.000	-1.690	-11.865	.000
a. Dependent Variable: indeks massa tubuh

Y = β0+ β1X1 +β2X2 +β3X3

IMT = 13.472 + 1.046 BB -.092 TB -0.004 interaksi BB dan TB

Hipotesa intersep dan slop = Setiap kenaikan BB akan mempengaruhi nilai IMT namuninteraksi keduanya BB dan TB tidak mempengaruhi nilai IMT.

ANOVAb
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	75.863	3	25.288	1.603	.197a
	Residual	1088.537	69	15.776
	Total	1164.399	72
a. Predictors: (Constant), interaksi jenis kelamin dan umur, umur, jenis kelamin
b. Dependent Variable: indeks massa tubuh

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	-25.817	45.760		-.564	.574
	jenis kelamin	33.589	24.833	3.859	1.353	.181
	umur	3.973	4.196	.508	.947	.347
	interaksi jenis kelamindan umur	-3.075	2.283	-3.778	-1.347	.182
a. Dependent Variable: indeks massa tubuh

Y = β0+ β1X1 +β2X2 +β3X3

IMT = -25.817 + 33.589 JK +  3.973 umur  -3.075 interaksi jenis kelamin dan umur

Hipotesa intersep dan slop = Setiap kenaikan umur dan jenis kelamin mempengaruhi nilai IMT namun interaksi keduanya tidak mempengaruhi nilai IMT .

ANOVAb
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	1383.154	3	461.051	7.959	.000a
	Residual	3997.093	69	57.929
	Total	5380.247	72
a. Predictors: (Constant), interaksi, umur, jumlh air dalam makanan
b. Dependent Variable: berat jenis

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	980.543	65.228		15.033	.000
	jumlah air dalammakanan	.138	.124	2.840	1.116	.268
	umur	4.716	6.053	.281	.779	.439
	interaksi	-.015	.011	-3.333	-1.298	.199
a. Dependent Variable: berat jenis

Y = β0+ β1X1 +β2X2 +β3X3

IMT = -980.543 + 0.138 AMA +  4.716 umur  - 0.015 interaksi AMA dan umur

Hipotesa intersep dan slop = Setiap kenaikan jumlah air dalam makanan dan umur mempengaruhi berat jenis urin namun interaksi keduanya tidak mempengaruhi berat jenis urin .

tugas anreg 9

TUGAS 9 ANREG

BB	TB	BTL	AK
79.2	149	54.1	2670
64	152	44.3	820
67	155.7	47.8	1210
78.4	159	53.9	2678
66	163.3	47.5	1205
63	166	43	815
65.9	169	47.1	1200
63.1	172	44	1180
73.2	174.5	44.1	1850
66.5	176.1	48.3	1260
61.9	176.5	43.5	1170
72.5	179	43.3	1852
101.1	182	66.4	1790
66.2	170.4	47.5	1250
99.9	184.9	66	1889
63	169	44	915

Variables Entered/Removeda
Model	Variables Entered	Variables Removed	Method
1	ASUPAN KALORI, TINGGI BADAN, BERAT BADAN TANPA LEMAKb	.	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	.969a	.939	.923	3.4224
a. Predictors: (Constant), ASUPAN KALORI, TINGGI BADAN, BERAT BADAN TANPA LEMAK

ANOVAa
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	2148.400	3	716.133	61.141	.000b
	Residual	140.554	12	11.713
	Total	2288.954	15
a. Dependent Variable: BERAT BADAN
b. Predictors: (Constant), ASUPAN KALORI, TINGGI BADAN, BERAT BADAN TANPA LEMAK

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