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Linear Regression Model MCQs – Practice Test 5 PDF Download

MCQ 21: In the Breusch-Pagan test, the square of variances is some function of:

  1. Stochastic variable
  2. Non-stochastic variable
  3. Exploratory variable
  4. Explanatory variable

MCQ 22: The classical linear regression model is based on the assumption that the model is:

  1. Correctly specified
  2. Not correctly specified
  3. Significant
  4. Insignificant

MCQ 23: Omitted variables from the regression model tends to change in the direction:

  1. Same as X
  2. Opposite to X
  3. Same as Y
  4. Opposite to Y

MCQ 24: Speakerman rank-correlation test and Quandt test are commonly used techniques for testing the assumption of:

  1. Multicollinearity
  2. Correlation
  3. Homoscedasticity
  4. Heteroscedasticity

MCQ 25: To test for heteroscedasticity disturbance in a linear regression model, the method used is known to be:

  1. Speakerman rank-correlation
  2. Breusch-Pagan test
  3. Quandt test
  4. Glesjar test

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