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商品編號： 9-622-100 出版日期： 2022/03/23 作者姓名： Bojinov, Iavor;Parzen, Michael;Hamilton, Paul J. 商品類別： Other 商品規格： 20p 再版日期： 2025/01/06 地域： 產業： 個案年度： -
商品敘述：
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares , and how to interpret the r-squared and model coefficient values of a simple linear regression model. Next, the note describes how the interpretation of a model coefficient changes when there are multiple independent variables in the model. Finally, the note explains how to interpret the coefficients on dummy variables in a regression model. The appendix includes R code for implementing all of these topics.
涵蓋領域：
Data science
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