Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-f-test_for_comparing_nested_models-1268-en_vufsw-f-test_for_comparing_nested_models-1268-en
    namevufsw-f-test for comparing (nested) models-1268-en
    sectioninferential statistics/regression/multiple linear regression/f-test for comparing (nested) models
    typeschoice
    solutionFALSE, FALSE, FALSE, TRUE
    Typeconceptual
    ProgramNA
    LanguageEnglish
    Levelstatistical reasoning

    Question

    Suppose the F-value in a multivariate regression is significant. Which conclusion(s) can you draw?

    I. The effects of all independent variables are significant.
    II. The explained variance of the regression model is in any case higher than 1.96.


    1. FALSE: Statement I is correct.
    2. FALSE: Statement II is correct.
    3. FALSE: Both statements are correct.
    4. TRUE: Neither statement is correct.

    Solution

    Neither statement is correct. If the F is significant the model as a whole is significant but you can not say anything about the separate variables. The explained variance can never be more than 100% or 1.0. The 1.96 is the critical value of the t test.

    M&T Bivariate linear regression
    Bivariate linear regression

    M&T Multivariate linear regression
    Default value


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