On the Investigation of Alternative Regressions by Principal Component Analysis

Key Points

• The study aims to explore the potential of principal component analysis in enhancing alternative regression models.
• Implemented statistical analysis techniques to investigate alternative regressions.
• Utilized principal component analysis to reduce dimensionality in statistical data.
• Evaluated the effectiveness of regression models based on the findings.
• Demonstrated improved explanatory power of alternative regression models when principal component analysis is applied.
• Highlighted significant correlation effects detected through the analysis.
• Provided insights that inform future statistical modeling approaches.