What is the parametric estimating technique used for?
Developing cost estimates based on relationships between a project’s technical, programmatic, and cost characteristics
It examines the resources consumed during development, manufacture, maintenance, and/or modification.
List the four activities in the basic parametric estimating approach.
These activities are derived from the overall cost estimating process.
What are cost drivers?
Parameters that influence the amount of money spent on an item
They are independent variables in Cost Estimating Relationships (CERs).
What is a Cost Estimating Relationship (CER)?
An equation that captures the relationship between cost drivers and cost
CERs can range from simple arithmetic means to complex multivariate regressions.
True or false: Cost passengers are the same as cost drivers.
FALSE
Cost passengers represent major system components that account for the majority of the system’s cost, while cost drivers influence spending.
What are the three primary estimating techniques used by cost estimators?
Each technique has its own strengths and weaknesses in different stages of the acquisition cycle.
Fill in the blank: A parametric model is composed of multiple _______ combinations and other algorithms.
CER
Cost drivers are identified through examination of historical costs and technical data.
What is the advantage of using parametric estimating?
These advantages enhance the accuracy and flexibility of cost estimates.
What does the R² value indicate in regression analysis?
The explanatory power of the model
It is one of several statistical measures derived from regression analysis.
What is the purpose of scatter plots in cost analysis?
To visualize relationships between cost drivers and costs
They help identify potential cost drivers through correlation.
What is the definition of parametric estimating according to the Parametric Estimating Handbook (PEH)?
A technique that develops cost estimates based on relationships between a project’s characteristics
It includes technical, programmatic, and cost characteristics.
What are the three types of simple multipliers in CERs?
Each type serves a different purpose in estimating costs.
What is the iterative process in data collection?
Continually adding data as new sources are identified
This process helps refine cost estimates over time.
What is the role of Subject Matter Experts (SMEs) in cost driver identification?
Provide insight into cost drivers based on deep understanding of the system
Their expertise helps identify parameters that logically drive costs.
Fill in the blank: Cost drivers are not to be confused with cost _______.
passengers
Cost passengers represent major components with the highest dollar values in the Work Breakdown Structure (WBS).
What does the parametric approach capture?
Design decisions or requirements with numerical parameters
It helps predict how costs can be influenced.
What is the first step in developing CERs?
Select the Variables
This involves determining the independent variable and corresponding data collection methodology.
What does CER stand for in the context of cost estimation?
Cost Estimating Relationship
CERs are used to establish relationships between cost drivers and costs.
In the equation y = a + b1x1 + b2x2 + … + bnxn, what do a and b represent?
These values are essential for defining the relationship in a linear model.
What is the purpose of validating CERs?
To ensure the CER accurately represents data not used in its development
Validation may involve graphical exploration and regression analysis.
What does the Prediction Interval (PI) methodology capture?
Uncertainty in OLS estimates
PI increases as estimates deviate from the core data set.
What does calibration of a CER involve?
Resetting the y-intercept to pass through a desired point
Calibration is used to correct analogies or adjust estimates to specific experiences.
What is a complex parametric model typically comprised of?
These models are often used for Life Cycle Cost (LCC) or Total Ownership Cost (TOC) estimates.
What is the significance of the R² value in regression analysis?
It represents the ratio of explained variation to total variation
A higher R² indicates a better explanatory variable.