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MCQ 21: Considering the model y=β1 + β2*x², the model is said to be:

  1. Linear model
  2. Non-linear variables
  3. Non-linear parameters
  4. Linear in parameters, non-linear variables

MCQ 22: In a given model, the difference between the estimated and actual value is known as:

  1. Slope coefficient
  2. Intercept
  3. Error value
  4. Regression value

MCQ 23: If an estimator linear, unbiased and have minimum variance in the class of all linear unbiased of estimator, it is known to be:

  1. Best linear unbiased estimator
  2. BLUE
  3. Best estimator
  4. Both A and B

MCQ 24: Practically, α and (1 - α) is expressed in:

  1. Boolean form
  2. Equation form
  3. Percentage form
  4. Non-numeric form

MCQ 25: When we donot reject the null hypothesis it indicates that the result is statistically:

  1. Biased
  2. Significant
  3. Unbiased
  4. Insignificant

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