Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_uu-Multiple-linear-regression-814-en_uu-Multiple-linear-regression-814-en
    nameuu-Multiple-linear-regression-814-en
    sectionInferential Statistics/Regression/Multiple linear regression
    typeschoice
    solutionFALSE, FALSE, TRUE, FALSE
    TypeInterpretating output
    ProgramSPSS
    LanguageEnglish
    LevelStatistical Literacy

    Question

    To predict the number of homicides (per year in a given area), a model is sought by a criminologist. Data were collected over the past few years on the following variables:

    murders the number of murders per 100,000 inhabitants permit the number of gun permits issued that year unemployed unemployment rate police the number of full-time police officers per 100,000 population workers indication of the number of minimum wage workers registrations the number of guns registered

    First, a regression model is proposed with homicides as the dependent variable and all other variables as predictors. Two of the 5 variables are found to be not significant in this model. The criminologist would like to compare the two models. Part of the SPSS output is shown below.

    What do we know about the value of the percent explained variance of the model with all five predictors?


    1. FALSE: R2R^2 < 0.975
    2. FALSE: R2R^2 = 0.975
    3. TRUE: R2R^2 > 0.975
    4. FALSE: Unknown