Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-simple_linear_regression-1143_vufsw-simple_linear_regression-1143
    namevufsw-simple linear regression-1143
    sectioninferential statistics/regression/simple linear regression
    typeschoice
    solutionTRUE, FALSE, FALSE, FALSE
    Typetest choice
    ProgramNA
    LanguageEnglish
    Levelstatistical reasoning

    Question

    A researcher wants to investigate within a group of employees whether the income (measured by the net monthly salary in euros) has an influence on the degree of absenteeism (measured by the number of missed days due to illness during the past year). Which statistical technique or test is most suitable for testing this?


    1. TRUE: Regression analysis to predict the number of missed days per year with the income.
    2. FALSE: A t-test for ‘independent samples’ to test the effect of the income on the number of missed days.
    3. FALSE: A t-test for ‘paired (dependent) samples’ to test the effect of the income on the number of missed days
    4. FALSE: A Chi squared test to test the association between the income and the number of missed days.

    Solution

    A t-test is for comparing two means and a chi square test is to test a categorical association. The correct answer is a regression analysis to predict the number of missed days per year with the income.

    Language
    Nederlands

    Levels of Difficulty
    Easy

    M&T BIS
    Default value

    M&T Model selection
    Default value


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