A second course in statistics: regression analysis (original) (raw)
1996
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8 pages
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1 file
AI-generated Abstract
This paper provides a comprehensive overview of regression analysis, emphasizing its methodologies and applications. It covers simple linear regression, multiple regression, and the necessary assumptions for effective statistical modeling. The manuscript also discusses residual analysis and various techniques, including logistic regression and time series forecasting, while demonstrating how these methods can inform data-driven conclusions in various fields.