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Collinearity, Power, and Interpretation of Multiple Regression Analysis
Abstract
Multiple regression analysis is one of the most widely used statistical procedures for both scholarly and applied marketing research. Yet, correlated predictor variables—and potential collinearity ...
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Cites
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Metadata
- Authors
- Mason, C. H., & Perreault, W. D.
- Venue
- Journal of Marketing Research
- Publisher
- JSTOR
- Published
- 1991-08
- Volume
- 28
- Issue
- 3
- Pages
- 268
- ISSN
- 0022-2437 (ISSN-L)
- OpenAlex
- W2314045446
- Cited by
- 1,067
- References
- 1
- FWCI
- 5.79
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
