Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-simplelinearregression-0076-en_vufsw-simplelinearregression-0076-en
    namevufsw-simplelinearregression-0076-en
    sectioninferential statistics/regression/simple linear regression
    typeschoice
    solutionFALSE, FALSE, FALSE, TRUE
    Typeconceptual
    ProgramNA
    LanguageEnglish
    Levelstatistical literacy

    Question

    A researcher conducted a regression analysis to predict a person’s interest in politics (Y) based on how often a person per week reads news articles (X). Political interest was measured using a scale ranging from 1 (‘not at all interested’) to 10 (very interested’). The formula associated with the regression line is shown below.
    What can you say about the causality between X and Y? 


    1. FALSE: How often a person reads news articles per week is only causally related to one’s political interest if there is no extrapolation occurs outside the observed range.
    2. FALSE: How often someone reads news articles per week is causally related to one’s political interest if there are no prediction errors (prediction errors).
    3. FALSE: How often someone reads news articles per week is causally related to one’s political interest if there are no influential outliers (influential outliers).
    4. TRUE: We cannot draw a firm conclusion based on regression analysis draw about causality and should think carefully about possible alternative explanations for the relationship found.

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