Research Article
Exploring Determinants of Attraction and Helpfulness of Online Product Review: A Consumer Behaviour Perspective
Table 8
Regression results for review attraction analysis.
(a) |
| | Model | Unstandardized coefficients | Standardized coefficients | | Sig. | Collinearity statistics | | Std. error | Beta | Tolerance | VIF |
| 1 | Constant | | | | 13.454 | | | | Review_Extremity | | | | | | | | Review_Reliability_Log | | | | 2.371 | | | | Reviewer_Rank_Log | | | | | | | |
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Dependent variable: Review_Attraction_Log.
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(b) |
| Model summary | Model | | square | Adjusted square | Std. error of the estimate |
| 1 | | | | |
|
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: (Constant), Reviewer_Rank_Log, Review_Extremity, and Review_Reliability_Log.
|
(c) |
| | Model | Sum of squares | df | Mean square | | Sig. |
| 1 | Regression | | | | | | Residual | | | | | | Total | | | | | |
|
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variable: Review_Attraction_Log. : (Constant), Reviewer_Rank_Log, Review_Extremity, and Review_Reliability_Log.
|