Identitas Mahasiswa :

M Azwar Syansuri

M. Fikri Mahmudi

Merselia Widowati

Putri Christina Palupi

Sumber “Pengaruh Advertising Terhadap Pembentukan Brand Awareness Serta Dampaknya Pada

Keputusan Pembelian Produk Kecap Abc (Survey Pada Ibu-Ibu Pkk Pengguna Kecap Abc Di Kelurahan

Antapani Kecamatan Cicadas Kota Bandung)” Hasil Analisis :

Variables Entered/Removedb,c

Model

Variables

Entered

Variables

Removed Method

1 z, xa . Enter

a. All requested variables entered.

b. Dependent Variable: y

c. Linear Regression through the Origin

ANOVAc,d

Model

Sum of

Squares df

Mean

Square F Sig.

1 Regressi

on 19100.145 2 9550.073

1.318E

3 .000a

Residual 202.855 28 7.245

Total 19303.000

b 30

a. Predictors: z, x

b. This total sum of squares is not corrected for the constant

because the constant is zero for regression through the origin.

c. Dependent Variable: y

d. Linear Regression through the

Origin

Model Summaryc,d

Model R R Squareb

Adjusted R

Square

Std. Error of

the Estimate

1 .995a .989 .989 2.692

a. Predictors: z, x

b. For regression through the origin (the no-intercept model),

R Square measures the proportion of the variability in the

dependent variable about the origin explained by regression.

This CANNOT be compared to R Square for models which

include an intercept.

c. Dependent Variable: y

d. Linear Regression through the Origin

Coefficientsa,b

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

Correlations

B Std. Error Beta Zero-order Partial Part

1 x .295 .170 .178 1.739 .093 .983 .312 .034

z .591 .074 .820 8.026 .000 .994 .835 .155

a. Dependent Variable: y

b. Linear Regression through the Origin

Residuals Statisticsa,b

Minimum Maximum Mean Std. Deviation N

Predicted Value 22.46 27.78 25.18 1.622 30

Residual -7.783 4.538 .051 2.644 30

Std. Predicted Value -1.677 1.604 .000 1.000 30

Std. Residual -2.892 1.686 .019 .982 30

a. Dependent Variable: y

b. Linear Regression through the Origin