The use of spreadsheet packages in industrial engineering - The case of regression analysis with binary dependent variables

Ernst P. Goss; Bernard J. Schroer

doi:10.1016/0360-8352(90)90023-F

The use of spreadsheet packages in industrial engineering - The case of regression analysis with binary dependent variables

Ernst P. Goss, Bernard J. Schroer

Research output: Contribution to journal › Article › peer-review

Abstract

Industrial engineers often rely upon multiple regressions in forecasting. However, in the case where the dependent variable is binary, the use of ordinary least squares regression, as provided by spreadsheet packages, introduces serious problems. This study provides an easily implemented alternative technique which solves these problems. The technique is implemented by adding a logit regression template to Lotus 1-2-3.

Original language	English (US)
Pages (from-to)	129-132
Number of pages	4
Journal	Computers and Industrial Engineering
Volume	18
Issue number	2
DOIs	https://doi.org/10.1016/0360-8352(90)90023-F
State	Published - 1990
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Science(all)
Engineering(all)

Access to Document

10.1016/0360-8352(90)90023-F

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abstract = "Industrial engineers often rely upon multiple regressions in forecasting. However, in the case where the dependent variable is binary, the use of ordinary least squares regression, as provided by spreadsheet packages, introduces serious problems. This study provides an easily implemented alternative technique which solves these problems. The technique is implemented by adding a logit regression template to Lotus 1-2-3.",

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