Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-regression-1092-en_vufsw-regression-1092-en
    namevufsw-regression-1092-en
    sectioninferential statistics/regression
    typeschoice
    solutionFALSE, TRUE, FALSE, FALSE
    Typeconceptual
    ProgramNA
    LanguageEnglish
    Levelstatistical literacy

    Question

    Decide whether the following statements are true or false.

    I. One of the characteristics of a regression line is that the sum of the squared residuals is as small as possible.

    1. A positive residual in a regression model means that the predicted value of y is higher than the observed value of y (the dependent variable).

    1. FALSE: Statements I and II are true
    2. TRUE: Statement I is true and statement II is false.
    3. FALSE: Statement I is false and statement II is true.
    4. FALSE: Statement I and II are false.

    Solution

    Statement I is true and statement II is false.

    If you want to understand this watch this clip.

    Language
    English

    Levels of Difficulty
    Difficult

    M&T BIS
    Default value

    M&T Bivariate linear regression
    Bivariate linear regression


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