**Option A:** non homogeneous relationship

**Option B:** homogeneous relationship

**Option C:** an internal relationship

**Option D:** an extreme relationship

**Correct Answer: **non homogeneous relationship ✔

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**Option A:** low high method

**Option B:** constant equation

**Option C:** variable equation

**Option D:** high low method

**Correct Answer: **high low method ✔

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**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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**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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**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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