Document Type
Closed Project
Publication Date
Winter 2009
Instructor
Tugrul Daim
Course Title
Technology Forecasting
Course Number
ETM 532/632
Abstract
Airplane technology is undergoing several exciting developments particularly in avionics, material composites, and design tool capabilities. There are many studies conducted on subsets of airplane technology, market and economic parameters; but few in multiple regression. This study focuses on three technology forecasting techniques: Multiple regression; linear regression; and the Pearl growth curve. They are applied to long-range commercial aircraft with the result giving a valid model for multiple regression and linear regression on range and composite material %. Growth curve analysis resulted in a valid model for range forecasting, but not for composite material %. This study also provides value in extending a previous descriptive paper on airplane parameters.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/22895
Citation Details
Lamb, Ann-Marie, "Exploring Commercial Airplane Introduction with Multiple Regression – Then Comparing Range and Material Composite Percent Parameters with Linear Regression and Pearl Growth Curve" (2009). Engineering and Technology Management Student Projects. 844.
http://archives.pdx.edu/ds/psu/22895
Comments
This project is only available to students, faculty, and staff of Portland State University.