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.
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.