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Muhammad Amirul Asraf Bin Sungip (2022)



                 4.5  Outlier Analysis

                         Using  the  standardised  z  score,  a  univariate  analysis  is  utilised  inside  a  study  to  detect  outliers  from  the
                  respondents' replies to each question item. Additionally, to be classified as having no outliers, the score must fall between
                  +4 and -4 (Hair et al., 2010). As a result, a univariate analysis was performed on the responses of 108 respondents in this
                  study, and all standardised z scores were within the specified range. Hence, all of the information gathered might be utilised
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                  in the subsequent analysis. The data was also subjected to Mahalanobis D  inside Multivariate analysis in order to identify
                  outliers based on the variables to be analysed. Because just three independent variables were employed in this study, the
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                  maximum Mahalanobis D  value cannot exceed 16.266. (Hair et al., 2010; Tabachnik & Fidell, 2007). The data could be
                  used because the value reached only 6.782, and no outliers were found.
                                                 Table 4.5: Summary of Regression

                                                                a
                                                Residuals Statistics

                                     Minimum       Maximum          Mean       Std. Deviation     N
                   Mahal Distance     0.187          6.782          2.972         1.578           108

                      a.   Dependent Variable: Purchase Intention


                  4.6 Multiple Regression Analysis

                         As a result, Table 4.6 shows the model summary. The adjusted R square findings for this model were 0.513,
                  indicating that the independent variables in Table 4.6, which illustrates the multiple linear regression analysis, adequately
                  explained 51.3% of the variance.

                                                 Table 4.6: Summary of Regression
                   Model             R                 R Square          Adjusted R square   Std. Error of the
                                                                                            Estimate

                                        a
                   1                 .716              0.513             0.499             0.29252
                         a.   Predictors: (Constant), Perceived Value, Perceived Quality, Brand Awareness



                  4.7 Summary of Hypothesis

                  Table 4.7 reveals that every independent variable included in this test is supported, with the exception of Perceived Value,
                  which is not supported with a value of 0.029, which violates the significant value of less than 0.05, 0.005, or 0.001. This
                  means that just two independent variables have an effect on purchase intention.

                                                   Table 4.7: Hypothesis Testing

                           Variables           Beta           t                Sig.            Decision
                        Brand Awareness        0.304        4.276             0.000            Supported
                        Perceived Quality      0.029        0.443             0.658          Not supported
                        Perceived Value        0.498        5.810             0.000            Supported
                  a. Dependent Variable: Purchase Intention




                    ■  5.0 DISCUSSION

                         The result shows that brand awareness is significantly influence purchase intention of workers dormitory service
                  by Westlite Dormitory. This finding is in line with earlier research by Alkhawaldeh (2017). This justifies that manufacturing



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