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376                                        Lim Huey Nee & Mazilah (2022)

                          According to Hair et al. (2010), standardised z score values should be no values exceeding +4 to -4. Therefore, there was
                          no value existing extremes in the data (output is not attached due to size limitation). Furthermore, Tabachnik & Fidell
                          (2007) mentioned that the maximum value for four variables did not exceed 18.467. The results were shown in Table 4.4
                          whereas  whether  univariate  or  multivariate,  it  drew  conclusions  from  extreme  values  and  satisfied  the  outline's
                          assumptions.

                                                       Table 4.4: Results of MahalaNobis, D
                                                                                   2
                                            Minimum       Maximum          Mean       Std. Deviation      N
                           Mahal. Distance   0.176          12.383         3.968          2.712          126


                   4.2 STRUCTURAL MODEL: MAIN HYPOTHESIS TESTING


                          4.2.1 COLLINEARITY ANALYSIS

                          Tolerance and Variation Inflation Factor (VIF) conducted by tolerance more than 0.2 and  VIF below 10 (Pallant, 2015).
                          The  result  showed  there  was  acceptance  with  both  hypotheses,  and  both  hypotheses  correlated  with  the dependent
                          variable, customer satisfaction.

                                                          Table 4.5: Collinearity Analysis
                                                              Collinearity Statistics
                                  Model                                      Tolerance               VIF
                                                     Quality of Food           0.589                 1.698
                                                    Quality of Service         0.596                 1.678
                                                    Quality of Setting         0.378                 2.645
                                                     Price and Value           0.386                 2.588
                              a.   Dependent Variable: Customer Satisfaction



            4.2.2 MULTIPLE REGRESSION ANALYSIS

                                                                                       2
                          The results of multiple regression analysis had shown in Table 4.6. The adjusted R  for the customer satisfaction was
                          0.53% and showed that only 53% of customer satisfaction is significantly influenced by the factors: quality of food,
                          quality of service, quality of the setting, and price and value. ANOVA table showed value F (34.082), and the significant
                          value was not exceeding α (0.001); the value is p=0.000. The table concludes that the variables had a significant influence
                          on the dependent variable, customer satisfaction.

                          Results of Multiple Regression Analysis in Table 4.8 indicated hypotheses 1 (quality of food), 2 (quality of service), and
                          3 (quality of setting) positively influenced customer satisfaction of Roumummy Bakery by the result H1=p<0.001, H2 =
                          p<0.05, and H3= p<0.05. The standardised beta values were positive (0.332, 0214, 0.241). The results illustrated that the
                          quality of food, service quality and setting quality were supported in this research. On the contrary, hypothesis
                          4  (price  and  value)  did  not  significantly  influence  customer  satisfaction  of  Roumummy  Bakery  with  the  result
                          standardised beta value is 0.093 and H4= p>0.05 (0.356). This result illustrated that price and value was not supported
                          in this research.


                                                Table 4.6: Model Summary of Multiple Regression Analysis
                                                               Model Summary
                                Model             R          R Square     Adjusted R Square   Std. Error of the Estimate
                                                    a
                                  1             .728           0.530           0.514               0.55209
                              a.   Predictors: (Constant), Quality of Food, Quality of Service, Quality of Setting, Price and Value
                              b.   Dependent Variable: Customer Satisfaction

                                                              Table 4.7: ANOVA
                                                                   ANOVA
                          Model                         F                              Sig.
                          1                             34.082                         0.000
                              a.   Predictors: (Constant), Quality of Food, Quality of Service, Quality of Setting, Price and Value
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