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Chapter 9 discusses the use of dummy (binary) variables in multiple regression models to account for qualitative characteristics affecting the dependent variable. It explains how intercept and slope dummy variables can be incorporated into regression equations to capture different effects for various groups, such as location or demographic factors. The chapter also provides examples, including a case study on house prices influenced by proximity to a university and the impact of educational attainment on wa

Author

dfsdfsdf

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EN