# MATH 5358: Regression analysis

Spring 2018

## Table of Contents

## Announcement

These is no announcement yet.

## Course Syllabus

## Course Schedule

The instructor reserves the right to adjust this schedule in any way that serves the educational needs of the students enrolled in this course.

Week | Date | Topics | Reading | Notes |
---|---|---|---|---|

Week1 | 1/17 | Introduction | ||

Week2 | 1/22 | R tutorial | ||

Week2 | 1/24 | R markdown | ||

Week3 | 1/29 | Simple linear regression | HW 1 - Due 2/5 | |

Week3 | 1/31 | Inferences about the slope and the intercept | ||

Week4 | 2/5 | Confidence and prediction intervals | HW 2 - Due 2/12 | |

Week4 | 2/7 | Analysis of variance | ||

Week5 | 2/12 | Dummy variable regression | HW 3 - Due 2/19 | |

Week5 | 2/14 | Regression diagnostics | ||

Week6 | 2/19 | Transformation of variables | HW 4 - Due 2/26 | |

Week6 | 2/21 | Weighted least squares | ||

Week7 | 2/26 | Polynomial regression | ||

Week7 | 2/28 | Midterm 1 |
||

Week8 | 3/5 | Multiple linear regression | HW 5 - Due 3/12 | |

Week8 | 3/7 | Analysis of covariance | ||

Week9 | 3/12 | Spring vacation | ||

Week9 | 3/14 | Spring vacation | ||

Week10 | 3/19 | Regression diagnostics for multiple regression | HW 6 - Due 3/26 | |

Week10 | 3/21 | Transformations | ||

Week11 | 3/26 | Multicollinearity | HW 7 - Due 4/2 | |

Week11 | 3/28 | Variable selection | ||

Week12 | 4/2 | Assessing the predictive ability of regression models | ||

Week12 | 4/4 | Midterm 2 |
||

Week13 | 4/9 | Autocorrelation | HW 8 - Due 4/16 | |

Week13 | 4/11 | Generalized least squares estimation | ||

Week14 | 4/16 | Logistic function and odds | HW 9 - Due 4/23 | |

Week14 | 4/18 | Logistic regression with a single predictor | ||

Week15 | 4/23 | Binary logistic regression | Final HW - Due 5/7 | |

Week15 | 4/25 | Random effects model | ||

Week16 | 4/30 | Mixed effect models | ||

Week16 | 5/2 | Review |