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What is Linear Regression Model Assumptions Guide about?

This technical report provides a concise review of the assumptions of Classical Linear Regression Models (CLRM), focusing on issues such as multicollinearity, heteroscedasticity, autocorrelation, and endogeneity, with practical applications using Stata software. The study analyzes the effects of variables like GNP, interest rates, and money supply on investment using a sample dataset, revealing significant findings regarding the determinants of investment. Recommendations for future research include explori

Author

rushdania.2008004

Language

EN