Metainformation
| Tag | Value |
|---|---|
| file | Inferential_Statistics_vufsw-moderation-1357-en_vufsw-moderation-1357-en |
| name | vufsw-moderation-1357-en |
| section | inferential statistics/regression/multiple linear regression/moderation |
| type | schoice |
| solution | FALSE, TRUE, FALSE, FALSE |
| Type | interpeting output |
| Program | calculator |
| Language | English |
| Level | statistical thinking |
Question
REGRESSION ANALYSIS Field describes a study on the growing interest in cosmetic surgical treatments. He collected data on the quality of life among a sample of respondents, some of whom part of whom had undergone cosmetic surgery and part of whom were still on the waiting list for it (variable: surgery: 0 = waiting list, 1 = cosmetic surgery). He measured the quality of life at registration for the cosmetic surgery, the “baseline” quality of life (variable: Base_Qol, scale 0-1, a higher score means higher quality of quality of life) and after a while, after the surgery had taken place for those who underwent the surgery immediately, but also at the same time for the group who were still on the waiting list (variable: Post_Qol, scale 0-100, a higher score means a higher quality of life).
Below are the results of a regression analysis with the post-measurement of quality of life as the dependent variable (Post_Qol), and in which having or not having undergone the cosmetic surgery (Surgery) and the “baseline” quality of life (Base_Qol) in the model are included. In model 2, in addition, the interaction between ‘surgery’ and ‘baseline’ quality of life were added to the model (Base_Qol_surgery).
What is the quality of life predicted by model 2 (Post_Qol) of someone who underwent cosmetic surgery and who already had a maximum “baseline” quality of life?
- FALSE: 8.494
- TRUE: 56.900
- FALSE: 88.042
- FALSE: 105.930
- False
- True
- False
- False