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: 122Prob > F: 0.000R²: 0.985Adjusted 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).

Introduction: It is required to discuss whether the primary visit purpose is a boundary condition.

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

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

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Explain in simple words the difference between the Causal and Correlated metric types.
Will upvote if correct
21. Causation Imagine that a team of researchers collects basic information from every student in a large high school (N=1000) and monitors the students' academic performance over a single school year. The researchers find that the students who wear glasses had significantly better grades than the students without glasses. What can we reasonably conclude from this study? Pick ONE option Wearing glasses causes students to achieve better grades The results do indicate some type of causal relationship, but we should be careful generalizing from this one high school -- the effect might not exist in the broader student population. Even if the high school was representative of the broader student population, the results do not indicate any causal link between glasses and academic performance. None of these statements offer reasonable conclusions.
1) For each of the following pairs of variables, is there likely to be a positive association, a negative association or no association? Briefly explain your reasoning. (a) Amount of alcohol consumed and performance on a test of coordination. (CHOOSE ONE) i) There is likely to be a positive association. As alcohol consumption increases, performance on a test of coordination will tend to increase. ii) There is likely to be a negative association. As alcohol consumption increases, performance on a test of coordination will tend to decrease. iii) No association would be expected between amount of alcohol consumed and performance on a test of coordination. (b) Height and grade point average for university students. i) There is likely to be a positive association. As height increases, grade point average for university students will tend to increase.There is likely to be a negative association. As height increases, grade point average for university students will tend to decrease.…
identify the independent variable, the dependant variable and the unit of analysis of the following statement Kentor, J. (2001). The long-term effects of globalization on income inequality, population growth, and economic development. Social Problems, 48, 4, 453-455.