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Chapter 4 discusses multiple regression analysis, focusing on hypothesis testing for parameters in a regression model. It covers the sampling distribution of OLS estimators under the assumption of normally distributed errors, and outlines methods for testing individual and multiple hypotheses about parameters. The chapter also introduces the t-distribution for hypothesis testing and provides examples to illustrate the application of these concepts.
- Author
- PALAK SHARMA
- Language
- EN