Regression Diagnostics in Practice

Experiences from Modeling Jet Engine Costs

Jeffrey B. Garfinkle, John Birkler

ResearchPublished 1983

This paper describes how regression diagnostics were used to help develop revised cost-estimating relationships for jet engines. The goal was to derive meaningful, yet easy-to-use models based on an updated collection of few observations and many variables. First, specific criteria were established for selecting explanatory variables. A variety of numerical and graphical techniques were then used to critique candidate models by examining residuals and evaluating the influence of individual engines. The final models are not only intuitively satisfying, but generally provide better predictions and are easier to use than earlier models. Additionally, the user is provided with a greater understanding of the design and sensitivity of the models, and therefore a better understanding of the actual estimates.

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  • Copyright: RAND Corporation
  • Availability: Available
  • Year: 1983
  • Print Format: Paperback
  • Paperback Pages: 14
  • Paperback Price: $20.00
  • Document Number: P-6896

Citation

RAND Style Manual
Garfinkle, Jeffrey B. and John Birkler, Regression Diagnostics in Practice: Experiences from Modeling Jet Engine Costs, RAND Corporation, P-6896, 1983. As of September 13, 2024: https://www.rand.org/pubs/papers/P6896.html
Chicago Manual of Style
Garfinkle, Jeffrey B. and John Birkler, Regression Diagnostics in Practice: Experiences from Modeling Jet Engine Costs. Santa Monica, CA: RAND Corporation, 1983. https://www.rand.org/pubs/papers/P6896.html. Also available in print form.
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