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2008•Journal of Shenyang Normal UniversityRequires access

Using Factor and Regression Analysis to Solve Collinearity in Regression model

Liu Luo-man

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Abstract

Factor and Regression Analysis is to draw the new factor variables from collinearity variables in the regression equation.So we can obtain the orthogonal factor variables,then use new factor variables to regression analysis.Through the example we introduce different ways to judge collinearity and introduce how to use factor and regression analysis to establish a good regression equation.

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What this paper is about

Factor and Regression Analysis is to draw the new factor variables from collinearity variables in the regression equation.So we can obtain the orthogonal factor variables,then use new factor variables to regression analysis.Through the example we introduce different ways to judge collinearity and introduce how to use factor and regression analysis to establish a good regression equation.

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Available abstract

Factor and Regression Analysis is to draw the new factor variables from collinearity variables in the regression equation.So we can obtain the orthogonal factor variables,then use new factor variables to regression analysis.Through the example we introduce different ways to judge collinearity and introduce how to use factor and regression analysis to establish a good regression equation.

Key concepts: Collinearity, Factor regression model, Regression analysis, Regression diagnostic, Factor (programming language), Statistics, Regression, Segmented regression

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