Advanced Regression Assessment Test

10 Questions | Total Attempts: 185

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Advanced Regression Assessment Test - Quiz

Take our assessment test to assess your knowledge of advanced regression (inference and transforming). Advanced regression is a collection of models used for analyses.


Questions and Answers
  • 1. 
    How many coefficients do you need to estimate in a simple linear regression model (one independent variable)?
    • A. 

      2

    • B. 

      4

    • C. 

      6

    • D. 

      8

  • 2. 
    Can the skewness of variables be calculated just using the mean and median?
    • A. 

      Yes

    • B. 

      No

    • C. 

      Depends

    • D. 

      None

  • 3. 
    Correlated variables can have zero correlation coeffficient.
    • A. 

      True

    • B. 

      False

    • C. 

      Depends on the analysis

    • D. 

      Depends on some other factors

  • 4. 
    A correlation between a man's health and age is found to be -1.09. Which of these will be reported to the doctor?
    • A. 

      The age is a good predictor of health 

    • B. 

      The age is a poor predictor of health

    • C. 

      The man is healthy

    • D. 

      None of the above

  • 5. 
    Which of the following is used for predicting continuous dependent variable?  
    • A. 

      Mean

    • B. 

      Gaussian distribution 

    • C. 

      Linear regression

    • D. 

      Logistic regression

  • 6. 
    To test linear relationship of y (dependent) and x (independent) continuous variables, which of the following plot is best suited?
    • A. 

      Bar chart

    • B. 

      Pictogram

    • C. 

      Scatter plot

    • D. 

      Histogram

  • 7. 
    Which of the following describes Heteroskedasticity?
    • A. 

      Linear regression with zero error terms

    • B. 

      Linear regression with constant error term

    • C. 

      Linear regression with no error terms

    • D. 

      Linear regression with varying error terms

  • 8. 
    Which of these is true of a linear regression model that perfectly fits the training data?
    • A. 

      You will always have test zero

    • B. 

      You will not have a test zero

    • C. 

      Maybe there will be a test zero

    • D. 

      None of the above

  • 9. 
    Predicting with trees evaluate ____ within each group of data.
    • A. 

      Homogeneity

    • B. 

      Equality

    • C. 

      Heterogeneity

    • D. 

      Inequality

  • 10. 
    Which of the following is a statistical boosting based on additive logistic regression?
    • A. 

      Ada

    • B. 

      Mboost

    • C. 

      Gamboosting

    • D. 

      Gbm

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