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CostMidterm

susan bye 36 preguntas

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Preguntas del test (36)

  1. 1An R-squared value that approaches one (1.0) would indicate:
    1. AMulticollinearity
    2. BA low degree of explanatory power
    3. CA high degree of explanatory power.
    4. DHeteroscedasticity
    5. EThe absence of outliers.
  2. 2The learning curve in cost estimation is a good example of:
    1. ANon-linear cost behavior.
    2. BMachine-intensive production.
    3. CSimple regression.
    4. DA random variable.
    5. EEfficient labor.
  3. 3Simpson Enterprises hired Homer & Associates to design a new computer-aided manufacturing facility. The new facility was designed to produce 300 computers per month. The variable costs for each computer are $660 and the fixed costs total $74,700 per month. The average cost per unit, if the facility normally expects to operate at eighty-five percent of capacity, i calculated to be (round to nearest cent):
    1. A$952.94. = $660 + [$74,700/(300 × .85)]
    2. B$909.00.
    3. C936.67
    4. D$971.25.
    5. E$942.47.
  4. 4A manager uses regression to express sales as a function of advertising expenditures (X1), and per capita income (X2) in your sales area. The following multiple linear regression equation is developed:
    Y=10+.51X1 +.45X2
    The coefficient of determination (R ) is .96
    Determine which of the following conclusions is valid regarding the coefficient of determination:
    1. AMore analysis is needed. The coefficient of determination leaves much unexplained.
    2. Bhe regression line fits the data used in the sample very well. There is a strong indication of the relationship of the two variables with sales.
    3. CThe coefficient of determination is positive because the constant term is positive.
    4. DThe coefficient of determination should always be greater than one.
  5. 5Least-squares regression analysis output produces a ariety of information and statistics. Which of the
    ollowing statistics provides information for fixed cost
    1. AT-statistics and p-value for the beta (slope) coefficient
    2. BAdjusted R-square
    3. CThe Y (dependent) variable
    4. DT-statistic and p-value for the alpha (intercept) coefficient
    5. EThe X (independent) variable
  6. 6Given the cost formula Y = $20,000 + $4X, at what level of activity will tota cost be $40,000?
    1. A5,000 units
    2. B10,000 units
    3. C20,000 units
    4. D180,000 units
    5. ENone
  7. 7The linear equation Y = a + bX + e is often used to express cost formulas. In this equation:
    1. Athe b term represents variable cost per unit of activity.
    2. Bthe a term represents variable cost in total.
    3. Cthe X term represents total cost.
    4. DtheY term represents total fixed cost
    5. Ethe e term represents the relevant range
  8. 8Place the following steps in order for estimating a cos unction using quantitative analysis:
    A.= Plot the data
    B.= Estimate the cost function
    C. = Choose the dependent variable D.= Identify the cost driver
    1. AB A C D
    2. BD C A B
    3. CC D A B
    4. DA D C B
    5. ED C B A
  9. 9Which step of estimating a cost function using quantitati nalysis is the most difficult step for a manager to implement in cost analysis?
    1. AStep 1: Choose the Dependent Variable.
    2. BStep 2: Identify the Independent Variable, or Cost Driver.
    3. CStep 3: Collect Data of the Dependent Variable and th Cost Driver.
    4. DStep 4: Plot the Data
    5. EStep 5: Estimate the Cost Driver of the Estimated Cos Function.
  10. 10An inaccurate cost function with a slope coefficient that is estimated t low may MOST likely result in
    1. Apredicting total costs that are too high.
    2. Binitiating cost cutting measures when they are unnecessary
    3. Cevaluating a weak manager as having strong performance.
    4. Dpromoting a product that is actually more profitable than budgeted

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Test sobre CostMidterm, creado por susan bye el 24/04/2018.
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