Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-simple_linear_regression-1258-en_vufsw-simple_linear_regression-1258-en
    namevufsw-simple linear regression-1258-en
    sectioninferential statistics/regression/simple linear regression
    typeschoice
    solutionFALSE, FALSE, TRUE, FALSE
    Typetest choice
    ProgramNA
    LanguageEnglish
    Levelstatistical literacy

    Question

    A researcher wants to know how much beer students drink during a night out. He is curious whether the money a student has to spend per month (in euros) has an influence on the amount of alcohol that the student drinks (measured in the number of glasses of alcohol). Which statistical test or technique is most suitable for testing this?


    1. FALSE: Dependent t-test
    2. FALSE: Chi-square test
    3. TRUE: Simple regression
    4. FALSE: Reliability test

    Solution

     It is a simple regression.

    The dependent t-test (also called the paired t-test or paired-samples t-test) compares the means of two related groups to determine whether there is a statistically significant difference between these means.

    The chi-squared test is used to determine whether there is a significant difference between the expected frequencies and the observed frequencies in one or more categories.

    Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables.

    Reliability in scientific investigation usually means the stability and repeatability of measures, or the ability of a test to produce the same results under the same conditions

    Levels of Difficulty
    Easy

    M&T Bivariate linear regression
    Bivariate linear regression

    M&T Model selection
    Default value


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