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USING DUMMY VARIABLES TO CHECK FOR ROUNDING ERROR IN COMPUTERIZED REGRESSION PROGRAMS *
Author(s) -
Mullet Gary M.,
Morgan David L.
Publication year - 1976
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1976.tb00658.x
Subject(s) - rounding , regression analysis , computer science , regression diagnostic , regression , statistics , truncation (statistics) , variables , partial least squares regression , linear regression , type i and type ii errors , mathematics , polynomial regression , operating system
ABSTRACT After a brief review of the role of dummy variables in regression analysis and the current state‐of‐the art in rounding/truncation error detection in computerized least squares programs, this paper presents a theorem that can be used to detect this type of error whenever an analyst is running a regression program that has one (or more) dummy variables as independent variables.