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MCQs

Total Questions : 138 | Page 5 of 14 pages
Question 41. The constant variance is classified in assumptions testing as
  1.    homogenous
  2.    homoscedasticity
  3.    heteroscedasticity
  4.    heterogeneous
 Discuss Question
Answer: Option B. -> homoscedasticity
Answer: (b).homoscedasticity
Question 42. As compared to cumulative average-time learning model, the learning model which predicts more cumulative total time to produce more units is known as
  1.    incremental unit time learning model
  2.    incremental price learning model
  3.    incremental unit average model
  4.    incremental cost learning model
 Discuss Question
Answer: Option A. -> incremental unit time learning model
Answer: (a).incremental unit time learning model
Question 43. If the slope coefficient is 0.60 and the difference in machine hours is $50000, then difference in cost can be
  1.    $68,700
  2.    $58,700
  3.    $30,000
  4.    $83,333.34
 Discuss Question
Answer: Option C. -> $30,000
Answer: (c).$30,000
Question 44. In the specification analysis, the assumptions related to variance state that:
  1.    variance of residuals is constant
  2.    variance of goodness is constant
  3.    goodness of fit is constant
  4.    standard error is constant
 Discuss Question
Answer: Option A. -> variance of residuals is constant
Answer: (a).variance of residuals is constant
Question 45. The model, in which the produced unit doubles every time as the cumulative average time per unit decreases, by a constant percentage can be classified as
  1.    cumulative average time learning model
  2.    cumulative mean learning model
  3.    cumulative weighted learning model
  4.    cumulative average pricing model
 Discuss Question
Answer: Option A. -> cumulative average time learning model
Answer: (a).cumulative average time learning model
Question 46. The line which uses to join observations with lower and highest values of cost driver is called
  1.    straight line
  2.    curved line
  3.    horizontal line
  4.    vertical line
 Discuss Question
Answer: Option A. -> straight line
Answer: (a).straight line
Question 47. If an unexplained variation is 456870 and the total variation is 955000, then the coefficient of determination will be
  1.    0.4528
  2.    0.4783
  3.    0.5216
  4.    0.5425
 Discuss Question
Answer: Option C. -> 0.5216
Answer: (c).0.5216
Question 48. The better fit between estimated cost and actual observations is represented by
  1.    variable residual terms
  2.    smaller residual terms
  3.    larger residual terms
  4.    zero residual terms
 Discuss Question
Answer: Option B. -> smaller residual terms
Answer: (b).smaller residual terms
Question 49. A technique which minimizes sum of squared vertical difference, to determine the regression line is considered as
  1.    negative square technique
  2.    positive square technique
  3.    least square technique
  4.    most square technique
 Discuss Question
Answer: Option C. -> least square technique
Answer: (c).least square technique
Question 50. In Regression Analysis, if an observed cost value is 85 and the disturbance error is 25 then predicted cost value will be
  1.    110
  2.    125
  3.    60
  4.    70
 Discuss Question
Answer: Option C. -> 60
Answer: (c).60

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