When looking at "Promotion X Study Deal" with (Study =1 variable indcating the respondent whose promary visit purpose is to study. Answer the following question using the chart provided. Is primary visit purpose a boundary condition? (ie: Will the effecdt of promotion deal on Lieklihood_Revisit be different between the group (Study =1) and the group (Study =0)?  Use the interaction effect to answer

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When looking at "Promotion X Study Deal" with (Study =1 variable indcating the respondent whose promary visit purpose is to study. Answer the following question using the chart provided.

Is primary visit purpose a boundary condition? (ie: Will the effecdt of promotion deal on Lieklihood_Revisit be different between the group (Study =1) and the group (Study =0)?  Use the interaction effect to answer

**Final Model (Phase 1)**

**Dependent Variable:** Likelihood_Revisit

| Independent Variable                  | Coefficient (p-value) | Standardized Beta  |
|---------------------------------------|-----------------------|--------------------|
| Promotion deal                        | 1.846 (0.000)         | 0.413 ***          |
| Complain Freq                         | -3.819 (0.000)        | -0.218 ***         |
| Promotion deal X Complain Freq        | 0.485 (0.000)         | 0.141 ***          |
| Study (=1)                            | 1.670 (0.157)         | 0.036              |
| Promotion deal X Study (=1)           | -0.271 (0.037)        | -0.046 *           |
| Transaction Amount                    | 1.634 (0.000)         | -0.682 ***         |
| Male                                  | 0.217 (0.697)         | 0.005              |
| Heavy                                 | 0.830 (0.183)         | 0.017              |
| Constant                              | 10.18 (0.000)         |                    |

N: 122

Prob > F: 0.000

R²: 0.985

Adjusted R²: 0.984

_p-values in parentheses_  
*_p < 0.05_, **_p < 0.01_, ***_p < 0.001_ 

This table summarizes the final model from a regression analysis in the first phase of a study. The dependent variable is the likelihood of revisit, while independent variables include factors such as promotion deals, complaint frequency, study participation, transaction amount, gender, and customer type (heavy users).

- **Promotion deal** shows a strong positive effect on revisit likelihood, significant at the 0.001 level.
- **Complain Frequency** has a negative effect, also highly significant.
- **Transaction Amount** has a large negative standardized beta, indicating it strongly influences revisit likelihood but in the opposite direction. 
- Interaction terms (e.g., Promotion deal X Complain Freq) indicate combined effects between independent variables on the dependent variable.
- The model explains approximately 98.5% of the variance in likelihood of revisit (Adjusted R² = 0.984).
Transcribed Image Text:**Final Model (Phase 1)** **Dependent Variable:** Likelihood_Revisit | Independent Variable | Coefficient (p-value) | Standardized Beta | |---------------------------------------|-----------------------|--------------------| | Promotion deal | 1.846 (0.000) | 0.413 *** | | Complain Freq | -3.819 (0.000) | -0.218 *** | | Promotion deal X Complain Freq | 0.485 (0.000) | 0.141 *** | | Study (=1) | 1.670 (0.157) | 0.036 | | Promotion deal X Study (=1) | -0.271 (0.037) | -0.046 * | | Transaction Amount | 1.634 (0.000) | -0.682 *** | | Male | 0.217 (0.697) | 0.005 | | Heavy | 0.830 (0.183) | 0.017 | | Constant | 10.18 (0.000) | | N: 122 Prob > F: 0.000 R²: 0.985 Adjusted R²: 0.984 _p-values in parentheses_ *_p < 0.05_, **_p < 0.01_, ***_p < 0.001_ This table summarizes the final model from a regression analysis in the first phase of a study. The dependent variable is the likelihood of revisit, while independent variables include factors such as promotion deals, complaint frequency, study participation, transaction amount, gender, and customer type (heavy users). - **Promotion deal** shows a strong positive effect on revisit likelihood, significant at the 0.001 level. - **Complain Frequency** has a negative effect, also highly significant. - **Transaction Amount** has a large negative standardized beta, indicating it strongly influences revisit likelihood but in the opposite direction. - Interaction terms (e.g., Promotion deal X Complain Freq) indicate combined effects between independent variables on the dependent variable. - The model explains approximately 98.5% of the variance in likelihood of revisit (Adjusted R² = 0.984).
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