Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-intercept-1355-en_vufsw-intercept-1355-en
    namevufsw-intercept-1355-en
    sectioninferential statistics/regression/intercept
    typeschoice
    solutionFALSE, TRUE, FALSE, FALSE
    Typeinterpreting output
    ProgramNA
    LanguageEnglish
    Levelstatistical reasoning

    Question

    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 some had undergone cosmetic surgery and some were still on the waiting list for it. waiting list for it (variable: surgery: 0 = waiting list, 1 = cosmetic surgery). It 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. Moreover, in model 2, the interaction between ‘surgery’ and ‘baseline’ quality of life were added to the model (Base_Qol_surgery).

    How should the constant of model 1 be interpreted?


    1. FALSE: As the lowest score on Postthat appears in the data
    2. TRUE: If the predicted score on Post_Qol of a person still on the waiting list and who scores 0 on the “baseline” quality of life
    3. FALSE: If the predicted score on the ‘baseline’ quality of life, Base|Qol, of someone still on the waiting list who scores 0 on the ‘Post’ quality of life.
    4. FALSE: If the lowest score on Post_Qol appearing in the data where held constant on the ‘baseline’ quality of life and on ‘surgery’

    1. False
    2. True
    3. False
    4. False