Multiple Linear Regression The Influence of Percemed Value, Brand Reputation to Customer Commitment Through Consumer Trust On Online Shopping at WWW TOKO BAGUS.COM

55 This analysis is used to determine the extent of the influence of Consumer perceived value and Brand reputation to Consumer commitment trough Consumer Trust either directly or indirectly by use of the formula of equation models the two lines as follows: Description: : Consumer Trust : Consumer Commitment : Consumer Perceived Value : Brand Reputation : Standard Error

E. Multiple Linear Regression

Multiple linar regression analysis is to measure the magnitude of the effect between two or more independent variables and to predict dependent variable using the independent variable Duwi Priyanto, 2012: 127. 56 From the counting with SPSS 20 gain the information and explnation on the coefficient determination, F test, and T test to answer the formulation of the problems. These are the following explanation that is connecting to the problem above, that is : a. The Coefficient of Determination Test According to Imam Ghozali 2006:202 the coefficient of determination essentially measure how far the ability of models to explain variation in the dependent variable. The value determination of coefficient is between zero and one. The is small means the ability of independent variables in explaining variations in the dependent variableis very limited. Value close to one baret the independent variables provide almost all the information needed to predict the variation of dependent variable. b. Simultaneous Test of F test F test essentially indicates wheater all the independent variabels or independent variables included in the model have jointly influence on the dependent variable. The probability is smaller than 0.05, then the result means that there are significant effect of independent variables collectively againts the dependent variable. Step to examine the hypothesis with F test as follow Ghazali, 2006:203 : 1 Determine Hypothesis 57 Perceived Value and Brand Reputation to Consumer Trust H0 : , = 0, there is no significant influence simultaneously among variable of perceived value and brand reputation to consumer trust. H1 : , ≠ 0, there is significant influence simultaneously among variable of perceived value, brand reputation to consumer trust. Perceived Value, Brand Reputation, Consumer Trust to Consumer Commmitment H0 : , there is no significant influence simultaneously among variable of perceived value, brand reputation, consumer trust to consumer commitment. H1 : , there is significant influence simultaneously among variable of perceived value, brand reputation, consumer trust to consumer commitment 2 Determinng level of significance Criteria for testing the significance level is amount 5 or α = 0.05 3 Determining the criteria acceptance and reject of Ho 58 If F test F table, so Ho rejected and H1 accepted, means independent variables simultaneously do not have a significant influence to dependent variables. c. Partial test of T – test This research methode is used to partial test or t test aims to determine how big the influence of each independet variable X individually partially toward dependent variable Y Ghozali, 2006:88. T test method is as follows two tail test : 1 Determine Hypothesis Perceived Value Hypothesis H0 : = 0 There is no direct effect between Consumer Perceived Value to Consumer Trust. H1 : ≠ 0 There is correlation between Consumer Perceived Value to Consumer Trust. Brand Reputation Hypothesis H0 : b4 = 0 There is no Indirect effect between Customer Perceived Value to Customer Commitment H1 : b4 ≠ 0 There is any indirect effect between Customer Perceived Value to Customer Commitment. Consumer Trust Hypothesis 59 H0 : b5 = 0 There is no indirect effect between Consumer Trust to Customer Commitment. H1 : b5 ≠ 0 There is any indirect effect between Consumer Trust to Customer Commitment. 2 Determining level of significance Lind et al., 2010:338. Criteria for testing the significance level is amount 5 or α = 0.05, because used two tailed so α valued devided 2 so 0.025. 3 Determining t table Lind et al,.2010:338 Distribute of t table searched on α = 5 with degree of freedome df = n-k-1 number of questionnair – number of independent variable – 1. 4 Comparing value t test with value table Suhyardi,2009:90 if – t test -t table it means Ho rejected and H1 accepted, so independet variable partially has significant influence toward dependent variable. If t test + t table it means Ho rejected and Ha accepted, so independent variable partially has significant influence towaard dependent variable. 60

F. Measurement Scale of Variable

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