Section B Quiz 1 Advance Machine Learning

10 Questions | Total Attempts: 114

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Section B Quiz 1 Advance Machine Learning - Quiz

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Questions and Answers
  • 1. 
    The slope of the regression line of Y on X is also called the:
    • A. 

      Correlation coefficient of X on Y

    • B. 

      Correlation coefficient of Y on X

    • C. 

      Regression coefficient of X on Y 

    • D. 

      Regression coefficient of Y on X

  • 2. 
    In simple linear regression, the numbers of unknown constants are:
    • A. 

      One

    • B. 

      Two

    • C. 

      Three

    • D. 

      Four 

  • 3. 
    If the value of any regression coefficient is zero, then two variables are:
    • A. 

      Qualitative 

    • B. 

      Correlation

    • C. 

       Dependent 

    • D. 

      Independent 

  • 4. 
    The straight line graph of the linear equation Y = a + bX, slope will be downward If:
    • A. 

      B = 0 

    • B. 

      B < 0 

    • C. 

      B > 0 

    • D. 

      B ≠ 0

  • 5. 
    Regression coefficient is independent of:
    • A. 

       Units of measurement 

    • B. 

       Scale and origin

    • C. 

      Both (a) and (b) 

    • D. 

      None of them

  • 6. 
    The purpose of simple linear regression analysis is to:
    • A. 

      Predict one variable from another variable

    • B. 

      Replace points on a scatter diagram by a straight-line

    • C. 

      Measure the degree to which two variables are linearly associated

    • D. 

      Obtain the expected value of the independent random variable for a given value of the dependent variable 

  • 7. 
    The straight line graph of the linear equation Y = a + bX, slope will be upward If:
    • A. 

      B = 0 

    • B. 

      B < 0 

    • C. 

      B > 0 

    • D. 

      B ≠ 0

  • 8. 
    In simple regression equation, the numbers of variables involved are:
    • A. 

      0

    • B. 

      1

    • C. 

      2

    • D. 

      3

  • 9. 
    If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be:
    • A. 

      Perfect positive

    • B. 

      Perfect negative

    • C. 

      Negative

    • D. 

      Zero

  • 10. 
    In simple linear regression model Y = α + βX + ε where α and β are called:
    • A. 

      Estimates

    • B. 

      Parameters

    • C. 

      Random errors

    • D. 

      Variables

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