EconPapers    
Economics at your fingertips  
 

Sensitivity Analysis with Nonlinear Multiple Regression Models

Cynthia Fraser
Additional contact information
Cynthia Fraser: University of Virginia, McIntire School of Commerce

Chapter Chapter 14 in Business Statistics for Competitive Advantage with Excel 2013, 2013, pp 433-446 from Springer

Abstract: Abstract In this chapter, the insights offered by sensitivity analysis of nonlinear regression models built with multiple drivers and cross sectional data are examined. With nonlinear models, the impact of each driver depends on the values of other drivers. This joint influence adds an element of realism relative to linear regression models with constant response and provides richer insights from sensitivity analysis.

Keywords: Nonlinear Multiple Regression Models; Guest Ratings; Marriott Hotel; Continuous Driver; Positive Coefficient Estimate (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-7381-7_14

Ordering information: This item can be ordered from
http://www.springer.com/9781461473817

DOI: 10.1007/978-1-4614-7381-7_14

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-08-11
Handle: RePEc:spr:sprchp:978-1-4614-7381-7_14