The Interpretation of Least Squares Regression with Interaction or Polynomial Terms

Keywords

Polynomial regression, Interpretation (philosophy), Mathematics, Regression, Polynomial

References

• Applied Economic ForecastingErik Ruist, Henri Theil — 1966
• A Value-Based Test of Profitability and Market StructureStavros B. Thomadakis — 1977
• The Demand for Production Factors and the Price Sensitivity of Input-Output PredictionsHenri Theil, C.B. Tilanus — 1964

Cited by

• Bond Return Predictability: An Investigation for the European MarketFlorinda Silva, Maria Céu Cortez, Manuel José da Rocha Armada — 2003
• The performance of US socially responsible mutual fundsCatherine Viana da Silva — 2015
• Conditioning Information and European Bond Fund PerformanceFlorinda Silva, Maria Céu Cortez — 2003
• Socially Responsible Investing in the Global Market: The Performance of US and European FundsMaria Céu Cortez, Florinda Silva, Nelson Areal — 2009
• The Performance of European Socially Responsible FundsMaria Céu Cortez, Florinda Silva, Nelson Areal — 2009
• Testing the interaction between concentration and barriers to entryStephen Martin — 1984
• Transformation of independent variables in polynomial regression modelsAbraham Okolo — 2010
• Capacity and Competition: Empirical Evidence on UK Panel DataJonathan Haskel, Christopher Martin — 1994
• Market structure and U.S. trade flowsAnthony Y. C. Koo, Stephen Martin — 1984
• Hierarchical Variable Selection in Polynomial Regression ModelsJulio L. Peixoto — 1987
• Determinants of opposition against EPO patent grants—the case of biotechnology and pharmaceuticalsDietmar Harhoff, Markus Reitzig — 2004
• Time varying betas and the unconditional distribution of asset returnsChris Adcock, Maria Céu Cortez, Manuel José da Rocha Armada — 2012
• Why Do Larger Orders Receive Discounts on the London Stock ExchangeDan Bernhardt, Vladimir Dvoracek, Eric Hughson — 2005
• MiniJudge: Software for Small-Scale Experimental SyntaxJames Myers — 2007
• Understanding Interaction Models: Improving Empirical AnalysesThomas Brambor, William R. Clark, Matt Golder — 2006
• A PC program to aid in the choice of the design matrix in multiple linear regression.Amy M. Furey, Charles J. Kowalski, Emet D. Schneiderman — 1993
• Using a Generative Model for Sentiment AnalysisYi Hu, LU Ru-zhan, Yuquan Chen — 2007
• Causes and effects of vertical intergrationStephen Martin — 1986
• SOCIALLY RESPONSIBLE INVESTING IN THE GLOBAL MARKET: THE PERFORMANCE OF US AND EUROPEAN FUNDS: SOCIALLY RESPONSIBLE INVESTING IN THE GLOBAL MARKETMaria Céu Cortez, Florinda Silva, Nelson Areal — 2012
• Linear Transformations of Polynomial Regression ModelsGary L. Griepentrog, J. Michael Ryan, L. Douglas Smith — 1982

Related papers

• A note on the scaled total least squares problemWei Xu, Sanzheng Qiao, Yimin Wei — 2008
• Properties of the total least squares estimationWang, Leyang — 2012
• The QLY least-squares and the QLY least-squares minimal-norm of linear dual least squares problemsHongxing Wang, Chong Cui, Yimin Wei — 2023
• Properties of the total least squares estimationLeyang Wang — 2012
• 3D RECTANGULAR COORDINATE TRANSFORMATION ADAPTED TO ARBITRARY ROTATION ANGLE BASED ON TOTAL LEAST-SQUARES REGRESSIONXiong Shaolong — 2010
• Solving AR(1) Model Parameters Based on Total Least-squares RegressionLi Cheng — 2012
• Weighted Total Least Squares to Solve Linear Model Parameters and Accuracy EstimationKE Shanliang — 2012
• Application of Total Least Squares for Spatial Point Process AnalysisYaron A. Felus — 2004
• Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy dataFeng Ding — 2023