Chapter | Data-Analysis Exercises | |

2 | What is regression analysis? | Chapter-2-Exercises.pdf |

3 | Examining data | Chapter-3-Exercises.pdf |

4 | Transforming data | Chapter-4-Exercises.pdf |

5 | Linear least-squares regression | Chapter-5-Exercises.pdf |

6 | Statistical inference for regression | Chapter-6-Exercises.pdf |

7 | Dummy-variable regression | Chapter-7-Exercises.pdf |

8 | Analysis of variance | Chapter-8-Exercises.pdf |

9 | Statistical theory for linear models | Chapter-9-Exercises.pdf |

10 | The vector geometry of linear models | (No data-analysis exercises) |

11 | Unusual and influential data | Chapter-11-Exercises.pdf |

12 | Normality, constant variance, and linearity | Chapter-12-Exercises.pdf |

13 | Collinearity and its purported remedies | Chapter-13-Exercises.pdf |

14 | Logit and probit models | Chapter-14-Exercises.pdf |

15 | Generalized linear models | Chapter-15-Exercises.pdf |

16 | Time-series regression | Chapter-16-Exercises.pdf |

17 | Nonlinear regression | Chapter-17-Exercises.pdf |

18 | Nonparametric regression | Chapter-18-Exercises.pdf |

19 | Robust regression | Chapter-19-Exercises.pdf |

20 | Missing data in regression models | Chapter-20-Exercises.pdf |

21 | Bootstrapping regression models | Chapter-21-Exercises.pdf |

22 | Model selection, averaging, and validation | Chapter-22-Exercises.pdf |

23 | Linear Mixed-Effects Models | Chapter-23-Exercises.pdf |

24 | Generalized Linear and Nonlinear Mixed-Effects Models | Chapter-24-Exercises.pdf |

Notes:
As a general matter, you should feel free to substitute
appropriate
data sets of interest to you for those suggested in the
various
data-analysis exercises. These exercises may be updated from
time-to-time.

You can also download a zip
file with all of the exercises.