Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_eur-inferential_statistics-114-en_eur-inferential_statistics-114-en
    nameeur-inferential_statistics-114-en
    sectionInferential Statistics/Regression/Equation, Inferential Statistics/Regression/Simple linear regression
    typeschoice
    solutionTRUE, FALSE, FALSE, FALSE
    TypeConceptual
    Program
    LanguageEnglish
    LevelStatistical Literacy

    Question

    When performing a regression analysis, the regression equation is determined by minimizing:


    1. TRUE: the total squared error (residual) between the predicted and the observed Y values
    2. FALSE: the total absolute error (residual) between the predicted and the observed Y value
    3. FALSE: the total absolute error (residual) between the values of X and Y
    4. FALSE: the total squared error (residual) between the values of X and Y

    Solution

    The regression equation is meant to plot out the perfect line through all datapoints, meaning the least total squared error (residual) between the predicted and the observed Y values


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    2. This answer is incorrect
    3. This answer is incorrect
    4. This answer is incorrect