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This chapter connects company segmentation, data download, and processing with statistical methodology to test hypotheses. It emphasizes the use of simple linear regression to identify the best-fitting multiples and financial drivers for each period and industry. The study involves 8.5 million regressions across 22 clusters over 15 years, focusing on yearly values. The methodology ensures rational correlations and statistical significance. The results are discussed for each industry, highlighting the evolution of valuation bases and drivers. The chapter concludes by confirming hypotheses related to clustering, transition of valuation bases, and mixed drivers.

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Testing the Hypothesis and the Model (Inferential Statistics)

  • 章节

  • 发表日期：

    2025年

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  • Adelin Trusculescu

摘要

This chapter connects company segmentation, data download, and processing with statistical methodology to test hypotheses. It emphasizes the use of simple linear regression to identify the best-fitting multiples and financial drivers for each period and industry. The study involves 8.5 million regressions across 22 clusters over 15 years, focusing on yearly values. The methodology ensures rational correlations and statistical significance. The results are discussed for each industry, highlighting the evolution of valuation bases and drivers. The chapter concludes by confirming hypotheses related to clustering, transition of valuation bases, and mixed drivers.