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280                                        Chen (2021)



                       The connection between the dependent variable and the independent factors is indicated by the multiple
               regression. This study conducted a multiple regression analysis to find out the strongest predictor for consumer intent,
               to study the beta coefficient and the greatest value was the most influential variable in this group, according to Julie
               Pallant. the analysis of the reverse effect was carried out. Multiple regression is not just one technique but a family of
               techniques that can be used to explore the relationship between one continuous dependent variable and a number of
               independent variables or predictors (Pallant,2010) The connection between the dependent variable and the independent
               factors is indicated by the multiple regression. This study conducted a multiple regression analysis to find out  the
               strongest predictor for consumer intent, to study the beta coefficient and the greatest value was the most influential
               variable in this group, according to Julie Pallant. the analysis of the reverse effect was carried out.

               H1 : Does aesthetic values in Petronas CNY advertisement influences the audience perception towards interethnic
               relation ?

                       The variables involved in this hypothesis is the aesthetic values in Petronas CNY advertisement and the
               perception towards interethnic relation. The data of degree of agreement from the three questions that respondents
               feels about the aesthetic values in the Petronas CNY advertisement. The aesthetic values learnt by audience might
               affect  their  aesthetic  perception  on  what  a  harmony  interethnic  relation  should  be.  Since  often  there  are  no
               understanding between ethnic’s tradition, ritual, color preference, or decorations. Therefore, multiple regression is
               carried out to see whether the aesthetic values presented in Petronas CNY advertisement can affect the audience.

                                                                   a
                                                             ANOVA
                                                                  Sum of               Mean
                 Model                                            Squares      df      Square     F        Sig.
                 1                          Regression                4.307       3      1.436    10.995    .000
                                                                                                                b
                                            Residual                 13.319      102     0.131
                                            Total                    17.626      105
                a. Dependent Variable: IMP_AVG
                b. Predictors: (Constant), AES3, AES2, AES1
                                                                Table 5.0

                       The table 5.0 above shows the multiple regression result output from SPSS statistics software. As we can see
               that the significant value (p-value) is .000 (p < 0.05 ) thus hypothesis 1 is accepted.

               H2 : Does social values in Petronas CNY advertisement changes the audience perception towards interethnic relation ?

                       The  variables  involved  in  this  hypothesis  is  the  social  values  in  Petronas  CNY  advertisement  and  the
               perception towards interethnic relation. The data of degree of agreement from the three questions that respondents
               feels about the social values in the Petronas CNY advertisement. Social values usually are vary from person to person,
               every person in a society have different things that they value. In this topic, we want to examine whether the social
               values presented in Petronas CNY advertisement make an impact on the audience thus causing them to recalibrate
               their perception towards interethnic relation.

                                                             ANOVA
                                                                   a
                                                                  Sum of               Mean
                 Model                                            Squares      df      Square     F        Sig.
                                                                                                                b
                 1                          Regression                4.410        3     1.470    11.344    .000
                                            Residual                 13.216      102     0.130
                                            Total                    17.626      105
                 a. Dependent Variable: IMP_AVG

                b. Predictors: (Constant), SOC3, SOC2, SOC1
                                                                Table 6.0


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