Option A: 3
Option B: 0.5003
Option C: 0.7003
Option D: 2
Correct Answer: 2 ✔
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Option A: price linearity
Option B: cost linearity
Option C: division linearity
Option D: multi-collinearity
Correct Answer: cost linearity ✔
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Option A: step constant functions
Option B: step cost functions
Option C: step price functions
Option D: step object functions
Correct Answer: step cost functions ✔
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Option A: fixed object
Option B: cost driver
Option C: cost object
Option D: mixed object
Correct Answer: cost driver ✔
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Option A: irrelevant range
Option B: relevant range
Option C: significant range
Option D: insignificant range
Correct Answer: relevant range ✔
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Option A: $50,000
Option B: $5,400
Option C: $6,400
Option D: $40,000
Correct Answer: $40,000 ✔
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Option A: x-axis
Option B: y-axis
Option C: unit axis
Option D: term axis
Correct Answer: x-axis ✔
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Option A: 0.5063
Option B: 0.4633
Option C: 2.16
Option D: 0.5367
Correct Answer: 0.5367 ✔
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Option A: production driver
Option B: cost driver
Option C: price driver
Option D: estimation driver
Correct Answer: cost driver ✔
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Option A: quantitative analysis method
Option B: qualitative analysis method
Option C: account analysis method
Option D: conference analysis method
Correct Answer: quantitative analysis method ✔
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Option A: units of labor
Option B: unit of production
Option C: time horizon
Option D: units of inventory
Correct Answer: time horizon ✔
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Option A: contractual agreement
Option B: knowledge of operations
Option C: measureable unit relationship
Option D: all of above
Correct Answer: all of above ✔
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Option A: d-value
Option B: c-value
Option C: t-value
Option D: b-value
Correct Answer: t-value ✔
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Option A: zero
Option B: one
Option C: two
Option D: three
Correct Answer: zero ✔
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Option A: mixed curve
Option B: experience curve
Option C: discrete curve
Option D: fixed curve
Correct Answer: experience curve ✔
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In quantitative analysis of estimating cost function, the last and foremost step is to __________?
Option A: evaluate variable driver
Option B: evaluate cost driver
Option C: evaluate price driver
Option D: evaluate demand driver
Correct Answer: evaluate cost driver ✔
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Option A: all data points
Option B: One data point
Option C: Two data points
Option D: Four data points
Correct Answer: all data points ✔
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Option A: related total costs
Option B: related fixed cost
Option C: related variable cost
Option D: related per unit cost
Correct Answer: related total costs ✔
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Option A: 0.4528
Option B: 0.4783
Option C: 0.5216
Option D: 0.5425
Correct Answer: 0.5216 ✔
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Option A: straight line
Option B: curved line
Option C: horizontal line
Option D: vertical line
Correct Answer: straight line ✔
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Option A: fixed cost function
Option B: variable cost function
Option C: step variable cost function
Option D: step fixed cost function
Correct Answer: variable cost function ✔
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Option A: higher repair cost
Option B: higher setup cost
Option C: lower repair cost
Option D: higher setup cost
Correct Answer: higher repair cost ✔
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Option A: 2.571
Option B: 0.39
Option C: 0.2571
Option D: 3.39
Correct Answer: 0.39 ✔
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Option A: data of fixed cost
Option B: cost driver of data
Option C: pool of data
Option D: cost object of data
Correct Answer: pool of data ✔
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Option A: independence of residuals
Option B: dependence of residuals
Option C: independence of correlation
Option D: none of the above
Correct Answer: independence of residuals ✔
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Option A: coefficient of determination
Option B: coefficient of index
Option C: coefficient of residual
Option D: coefficient of prediction
Correct Answer: coefficient of determination ✔
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Option A: $16,000
Option B: $200
Option C: $400
Option D: $20,000
Correct Answer: $200 ✔
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Option A: discrete amounts
Option B: same amounts
Option C: linear amounts
Option D: nonlinear amounts
Correct Answer: discrete amounts ✔
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Option A: constant
Option B: variable
Option C: exponent
Option D: base
Correct Answer: constant ✔
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Option A: badness of residual
Option B: goodness of residual
Option C: badness of fit
Option D: goodness of fit
Correct Answer: goodness of fit ✔
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Option A: residual term
Option B: positive term
Option C: negative term
Option D: squared term
Correct Answer: residual term ✔
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Option A: U=A-b
Option B: u=A-a
Option C: u=Y-y
Option D: u=X-x
Correct Answer: u=Y-y ✔
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Option A: higher setup cost
Option B: lower repair cost
Option C: higher setup cost
Option D: higher repair cost
Correct Answer: lower repair cost ✔
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Option A: variance of residuals is constant
Option B: variance of goodness is constant
Option C: goodness of fit is constant
Option D: standard error is constant
Correct Answer: variance of residuals is constant ✔
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Option A: incremental unit time learning model
Option B: incremental price learning model
Option C: incremental unit average model
Option D: incremental cost learning model
Correct Answer: incremental unit time learning model ✔
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Option A: linear coefficient
Option B: cost coefficient
Option C: slope coefficient
Option D: price coefficient
Correct Answer: slope coefficient ✔
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Option A: $86,667
Option B: $48,750
Option C: $85,000
Option D: $55,000
Correct Answer: $86,667 ✔
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Option A: x-axis at one
Option B: y-axis at constant
Option C: x-axis at constant
Option D: y-axis at one
Correct Answer: y-axis at constant ✔
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Option A: cost object hierarchy
Option B: management hierarchy
Option C: price hierarchy
Option D: cost hierarchy
Correct Answer: cost hierarchy ✔
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Option A: price index
Option B: cost index
Option C: profit index
Option D: cost driver index
Correct Answer: price index ✔
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Option A: goodness of each activity
Option B: handling of each activity
Option C: cost driver for each activity
Option D: cost object for each activity
Correct Answer: cost driver for each activity ✔
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Option A: discrete curve
Option B: fixed curve
Option C: mixed curve
Option D: experience curve
Correct Answer: experience curve ✔
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Option A: real price data
Option B: real cost data
Option C: multiplier data
Option D: divisional data
Correct Answer: real cost data ✔
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Option A: plotting the data
Option B: plotting the costs
Option C: plotting the cost drivers
Option D: plotting curved line
Correct Answer: plotting the data ✔
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In the ‘specification analysis’, the assumptions related to residuals states must be __________?
Option A: worst
Option B: independent
Option C: dependent
Option D: good
Correct Answer: independent ✔
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Option A: incremental unit average model
Option B: incremental cost learning model
Option C: incremental unit time learning model
Option D: incremental price learning model
Correct Answer: incremental unit time learning model ✔
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Option A: cost estimation
Option B: price estimation
Option C: unit estimation
Option D: production estimation
Correct Answer: cost estimation ✔
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Option A: step price functions
Option B: step object functions
Option C: step constant functions
Option D: step cost functions
Correct Answer: step cost functions ✔
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Option A: marketing and financing
Option B: price and costs
Option C: input and output
Option D: units and batches
Correct Answer: input and output ✔
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Option A: coefficient of residual
Option B: coefficient of prediction
Option C: coefficient of determination
Option D: coefficient of index
Correct Answer: coefficient of determination ✔
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Option A: badness proportions
Option B: goodness proportion
Option C: inversely proportion
Option D: directly proportion
Correct Answer: directly proportion ✔
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Option A: decrease in variance
Option B: increase in variance error
Option C: increase in standard error
Option D: decrease in standard error
Correct Answer: increase in standard error ✔
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Option A: homogenous
Option B: homoscedasticity
Option C: heteroscedasticity
Option D: heterogeneous
Correct Answer: homoscedasticity ✔
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Option A: cumulative average time learning model
Option B: cumulative mean learning model
Option C: cumulative weighted learning model
Option D: cumulative average pricing model
Correct Answer: cumulative average time learning model ✔
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Option A: $68,700
Option B: $58,700
Option C: $30,000
Option D: $83,333.34
Correct Answer: $30,000 ✔
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Option A: estimate cost function
Option B: estimate price function
Option C: estimate supply function
Option D: estimate demand function
Correct Answer: estimate cost function ✔
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Option A: unit axis
Option B: term axis
Option C: x-axis
Option D: y-axis
Correct Answer: y-axis ✔
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Option A: nonlinear cost function
Option B: linear cost function
Option C: linear price function
Option D: nonlinear price function
Correct Answer: nonlinear cost function ✔
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Option A: irrelevant range of linearity
Option B: relevant range of linearity
Option C: significant range
Option D: insignificant range
Correct Answer: relevant range of linearity ✔
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Option A: cost estimation methods
Option B: price estimation methods
Option C: unit estimation method
Option D: variable estimation method
Correct Answer: cost estimation methods ✔
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Option A: fixed cost
Option B: constant
Option C: variable
Option D: both a and b
Correct Answer: fixed cost ✔
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Option A: constant
Option B: variable
Option C: expression
Option D: base and exponent
Correct Answer: constant ✔
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Option A: cost function
Option B: revenue function
Option C: unit function
Option D: relative function
Correct Answer: cost function ✔
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Option A: activity based costing
Option B: margin based costing
Option C: goodness of costing
Option D: handling based costing
Correct Answer: activity based costing ✔
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Option A: parallel correlation
Option B: serial correlation
Option C: auto correlation
Option D: both B and C
Correct Answer: both B and C ✔
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Option A: average of coefficient
Option B: variance of residual
Option C: mean of residual
Option D: average of residual
Correct Answer: variance of residual ✔
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Option A: manufacturing analysis method
Option B: price analysis method
Option C: unit analysis method
Option D: account analysis method
Correct Answer: account analysis method ✔
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Option A: One variable series
Option B: multiple regression
Option C: simple regression
Option D: Two way regression
Correct Answer: multiple regression ✔
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The second step for estimation of cost function by using quantitative analysis is to __________?
Option A: choose independent variable
Option B: choose cost estimation method
Option C: choose price estimation method
Option D: choose dependent variable
Correct Answer: choose independent variable ✔
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Option A: simple regression
Option B: Two way regression
Option C: One variable series
Option D: multiple regression
Correct Answer: simple regression ✔
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Option A: independent variable
Option B: function variable
Option C: evaluation variable
Option D: estimation variable
Correct Answer: independent variable ✔
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Option A: activity coefficient
Option B: cost coefficient
Option C: change coefficient
Option D: slope coefficient
Correct Answer: slope coefficient ✔
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Option A: fixed cost driver
Option B: cost driver and cost
Option C: cost driver and object
Option D: mixed cost driver
Correct Answer: cost driver and cost ✔
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Option A: variable equation
Option B: high low method
Option C: low high method
Option D: constant equation
Correct Answer: high low method ✔
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Option A: 0.7
Option B: 0.6
Option C: 0.5
Option D: 0.4
Correct Answer: 0.7 ✔
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Option A: general ledger
Option B: non-achievable
Option C: non measureable
Option D: economically plausible
Correct Answer: economically plausible ✔
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Option A: cost driver and cost
Option B: cost object and cost
Option C: heterogeneous cost
Option D: homogenous cost
Correct Answer: cost driver and cost ✔
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Option A: conference method
Option B: inference method
Option C: pricing method
Option D: manufacturing method
Correct Answer: conference method ✔
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Option A: values of a and b
Option B: values of x and y
Option C: values of a and x
Option D: values of b and y
Correct Answer: values of a and b ✔
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Option A: times series method
Option B: time horizon method
Option C: aggression method
Option D: regression method
Correct Answer: regression method ✔
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Option A: negative square technique
Option B: positive square technique
Option C: least square technique
Option D: most square technique
Correct Answer: least square technique ✔
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Option A: variable residual terms
Option B: smaller residual terms
Option C: larger residual terms
Option D: zero residual terms
Correct Answer: smaller residual terms ✔
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Option A: weighted analysis
Option B: average analysis
Option C: significance analysis
Option D: specification analysis
Correct Answer: specification analysis ✔
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Option A: standard error of estimated coefficient
Option B: weighted error of estimated coefficient
Option C: average of estimated coefficient
Option D: variance of estimated coefficient
Correct Answer: standard error of estimated coefficient ✔
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Option A: $1,200
Option B: $1,400
Option C: $1,600
Option D: $1,800
Correct Answer: $1,200 ✔
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Option A: price engineering method
Option B: industrial engineering method
Option C: measuring engineering method
Option D: unit engineering method
Correct Answer: industrial engineering method ✔
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Option A: larger residual terms
Option B: zero residual terms
Option C: variable residual terms
Option D: smaller residual terms
Correct Answer: larger residual terms ✔
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Option A: cumulative average time learning model
Option B: incremental unit time learning model
Option C: incremental production learning model
Option D: both a and b
Correct Answer: both a and b ✔
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Option A: $800
Option B: $400
Option C: $300
Option D: $600
Correct Answer: $300 ✔
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Option A: 1.24
Option B: 0.24
Option C: 0.6
Option D: 1.667
Correct Answer: 0.6 ✔
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Option A: demand allocation base
Option B: supply allocation base
Option C: cost allocation base
Option D: price allocation base
Correct Answer: cost allocation base ✔
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Option A: cost and cost object
Option B: price and cost driver
Option C: dependent variable and cost driver
Option D: independent variable and cost driver
Correct Answer: dependent variable and cost driver ✔
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Option A: level of activity
Option B: quantity stored
Option C: quantity manufactured
Option D: quality of product
Correct Answer: level of activity ✔
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