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According to Wibowo, 2012: 93 if the result has a significance probability value alpha values 0.05 then the
model is not experiencing heteroscedasticity.
d. Autocorrelation Test
Autocorrelation test is used for the sole purpose of knowing whether there is a correlation between members of a set of
observed data and analyzed according to a cross section. This test aims to see whether there is residual in an observation with
other observation on the model. In these research, researcher using Durbin Watson test. A model can be expressed is not the
case if probability value autocorrelation symptoms Durbin Watson 0.05 Wibowo 2012: 106.
4. Multiple Regression Analysis
Multiple Regression involves a single dependent variable and twoor more independent variables. The questions raised in the
context of bivariate regression can also be answered via multiple regression by considering additional independent variables.
Malhotra, 2004: 512. The general form of the multiple regression model is as follows:
Y = βo + β1X1 + β2 + X2 + β3 + X3 + ... + βkXK + e Which is estimated by following equation:
Y = a + b1x1 + b2x2 + b3x3 + ...... bkxk That is means about the research model:
Y: a + b1x1 + b2x2 + b3x3+ e
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It means :
Y = Customer Satisfaction a = Number Constant
b1x1 = Service Quality b2x2 = Product Quality
b3x3 = Promotion e = Standart error
5. T- test Statistic Partial
This test method is used to test the partial coefficient of the free variable to the variable bound by the hypothesis put forward. T
test basically shows how much influence a single dependent variable. The probability is smaller than 0.05, then the result
means that there are significant independent variables individually influence on the dependent variable Ghozali,
2006:84. 1.
If -t table t test + t table, then Ho is rejected and Ha is accepted, it means there is influence between
indepedent variable toward dependent variable.
2. If t test t table, or
– t test - t table then Ho is accepted and Ha is rejected it means there no is influence between
independent variable toward dependent varibale.
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Ho : Using servic quality, product quality, and promotion
there is no significant influence toward customer satisfaction.
Ha : Using service quality, product quality, and promotion there is significant influence toward customer
satisfaction. the criteria to making decision significancy with
α = 0,05 a.
If probability α 0.05, so Ho accept. It means using service quality, product quality, and promotion there is no
influence toward customer satisfaction. b.
If probability α 0.05, so Ho reject. It means service quality, product quality, and promotion there is influence
toward customer satisfaction.
6. F- Test statistic F- simultaneous test
F test essentially indicates whether all the independent variables or independentvariables included in the model have jointly
influence on the dependent variable or bound.The probability is smaller than 0.05, then the result means that there are significant
effects ofindependent variables collectively against the dependent variable Ghazali, 2005:84. The results of this F test in SPSS
output can be seen in the ANOVA table. The null hypothesis Ho and alternative hypothesis Ha used are:
1. Ho: β0 ≠ 0, its mean there are no influences of service quality,
