Students acquire the competence to assess the suitability of fundamental methods of multivariate data analysis for problem-solving and to critically evaluate the economic relevance of the corresponding analysis results. The focus is on multivariate linear regression analysis.
They gain comprehensive theoretical knowledge in dealing with basic methods of multivariate data analysis. In the area of linear regression analysis, this includes, for example, an understanding of:
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absence of autocorrelation
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multicollinearity
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homoskedasticity
and the respective consequences for data analysis. Practical, software-supported exercises using real-world data demonstrate the relevance of the theoretical knowledge for the rigorous and responsible application of the methods learned.