Tugas Halaman 85 Pertemuan Ke 5 Analisis Regresi

Nama : Wida Kurnia
NIM : 20160302156
Tugas : Ke 5 halaman 85 Analisis Regresi

Halaman 85

Regression antara umur mempengaruhi kolesterol

                     Variables Entered/Removed(b)

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

a  All requested variables entered.

b  Dependent Variable: Kolesterol

                                                Model Summary

Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.151(a)	.023	.000	25.514

a  Predictors: (Constant), Umur

                                                                                ANOVA(b)

Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	655.625	1	655.625	1.007	.321(a)
	Residual	27990.819	43	650.949
	Total	28646.444	44

 

 

a  Predictors: (Constant), Umur

b  Dependent Variable: Kolesterol

                                                                          Coefficients(a)

Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta	B	Std. Error
1	(Constant)	204.048	22.093		9.236	.000
	Umur	.445	.444	.151	1.004	.321

  

 

a  Dependent Variable: Kolesterol

·         Hitung Sum of Square for Regression (X)

655.625

·         Hitung Sum of Square for Residual

27990.819

·         HItung Mean Sum of Square for Regression (X)

       655.625

·         Hitung Mean Sum of Square for Residual

       650.949

·         Hitung nilai F dan buat kesimpulan

Nilai F_h= 1,007 < F_t=4,07, nilai p>0,05 sangat bermakna, Sig. =0,306

Artinya, kita menerima hipotesa nol dan kita nyatakan bahwa: umur tidak mempengaruhi kolestrol.

Regression umur mempengaruhi trigliserida

                     Variables Entered/Removed(b)

Model	Variables Entered	Variables Removed	Method
1	Umur(a)	.	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	.301(a)	.091	.069	39.517

a  Predictors: (Constant), Umur

                                                                                ANOVA(b)

Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	6687.911	1	6687.911	4.283	.045(a)
	Residual	67148.000	43	1561.581
	Total	73835.911	44

 

 

a  Predictors: (Constant), Umur

b  Dependent Variable: Trigliserida

                                                                          Coefficients(a)

Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta	B	Std. Error
1	(Constant)	110.198	34.218		3.220	.002
	Umur	1.422	.687	.301	2.069	.045

  

 

a  Dependent Variable: Trigliserida

·         Hitung Sum of Square for Regression (X)

6687.911

·         Hitung Sum of Square for Residual

       67148.000

·         HItung Mean Sum of Square for Regression (X)

      6687.911

·         Hitung Mean Sum of Square for Residual

       1561.581

·         Hitung nilai F dan buat kesimpulan

Nilai F_h= 4,282 > F_t=4,07, nilai p<0,05 sangat bermakna, Sig. =0,045

Artinya, kita menerima hipotesa nol dan kita nyatakan bahwa: umur mempengaruhi trigliserida.