Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_uu-Multiple-linear-regression-823-en_uu-Multiple-linear-regression-823-en
    nameuu-Multiple-linear-regression-823-en
    sectionInferential Statistics/Regression/Multiple linear regression
    typeschoice
    solutionFALSE, TRUE, FALSE, FALSE
    TypeInterpretating output
    ProgramSPSS
    LanguageEnglish
    LevelStatistical Literacy

    Question

    Marco, a culinary specialist from Utrecht, would like to give a good advice for the customers of his magazine about the price/quality ratio of various restaurants in Utrecht based on the year 2014. To this end, he has had 40 restaurants rated by his readers and has collected data on a number of indicators: price for a 3-course menu (in whole euros), quality score of the menu according to readers (1-10) and quality score for the service according to readers (1-10). He himself assigned his own final rating to these restaurants (variable = final score (1-10)). He is building a regression model to predict the final score using the price and the two readers’ ratings. He is very curious how far the predicted scores will deviate from his own judgment. Below is part of the SPSS output.

    Based on the above outputs, what do we conclude regarding the various tests we do?


    1. FALSE: The full model is significant and all individual predictors are significant
    2. TRUE: The full model is significant but not all individual predictors are significant
    3. FALSE: The full model is not significant but all individual predictors are significant
    4. FALSE: The full model is not significant and not all individual predictors are significant