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Canonical correlation analysis: a tool for exploring relationships in small business and entrepreneurship research

Bernice Kotey, Lydon Brooks

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Abstract

The canonical correlation technique is useful for exploring multivariate associations between sets of dependent and independent variables. It is superior to correlation techniques such as bivariate pairings and multiple regression where relationships among sets of independent (predictor) and dependent (criterion) variables are being considered.

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What this paper is about

The canonical correlation technique is useful for exploring multivariate associations between sets of dependent and independent variables. It is superior to correlation techniques such as bivariate pairings and multiple regression where relationships among sets of independent (predictor) and dependent (criterion) variables are being considered.

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Available abstract

The canonical correlation technique is useful for exploring multivariate associations between sets of dependent and independent variables. It is superior to correlation techniques such as bivariate pairings and multiple regression where relationships among sets of independent (predictor) and dependent (criterion) variables are being considered.

Key concepts: Canonical correlation, Bivariate analysis, Correlation, Multivariate statistics, Canonical analysis, Variables, Regression analysis, Econometrics

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