## Latest news

Extra office hours next week: Tue 8-12. During the break I will try to respond to email - but please make sure your questions are itemized, clear and concise, and remember there are 50 of you and one of me.... so try first on your own and only check in with me if you are truly stuck, something looks odd, you are running out of ideas.

Old exams: look through before Thur next week when we will go through them together. Final Jan 2017, Final Aug 2016, Final Jan 2016

Solutions: Final Jan 2017, Final Aug 2016, Final Jan 2016

Mini5: Prepare 6-10 slide of your preliminary analysis for your project. PRINT OUT THESE SLIDES!!!

Print these. We will have a "poster session" Dec 15 where you will tape these slides around the room. I will visit your posters - you will visit eachothers' posters - you may get hints, inspiration, help from other students and me to better help you finish your projects.
Poster:
a) describe your data - challenges with it
b) state your goals
c) some preliminary findings
d) something "weird", surprising, unexpected you want to get feedback on?

**Important information about your projects!!!!**
It is great that so many data sets are available online and helpful to see what other people have done in terms of getting nice visualizations of the data, ideas for how to model etc.
That being said;

## Teachers

**Course coordinator:** Rebecka Jornsten

**Office hours:**Tue 10-12 in MVH3029

## Course literature

J.O. Rawlings, S.G. Pantula, D.A. Dickey. Applied Regression Analysis.

Lecture notes

You will use the statistical package R for the lab and project work.

## Program

Preliminary Course Outline

Week | Chapter |
Topic |
---|---|---|

44 |
1:1-7,9, 11, 12:1-4 |
Basics, Simple linear model, Diagnostics, Matrix formulation |

45 |
2,3,4,(6), 11, 12, 13.1 |
Multiple regression. Diagnostics and testing |

46 |
9+notes |
ANOVA,ANCOVA, Model selection |

47 |
7,13+notes |
Model selection |

48 |
notes, 7 |
Bootstrap, Cross-validation |

49 |
13+notes |
Regularized regression |

50 |
8,10,12,15 |
WLS, NLM, GLM In-class presentations, Old Exams |

Lecture notes, Demos and MiniAnalyses

#### Reference literature:

J.O. Rawlings, S.G. Pantula, D.A. Dickey. Applied Regression Analysis.

Lecture notes

You will use the statistical package R for the lab and project work.

## Course requirements

The learning goals of the course can be found in the course plan.

## Assignments

MiniAnalysis 1-6 are labs where you will have a week to perform an analysis task and prepare slides to present in class on FRIDAYS. It is mandatory to present at least 3/6 minis. You can work in teams of 1-3 students. Teams will be selected at random on Friday Mini sessions. We discuss your findings in class.

## Examination

The Minis contribute 10% to your final grade AND the minis will also be part of your final project exam. The project counts for 40% of your grade and a written final for 50%.

## Examination procedures

In Chalmers Student Portal you can read about when exams are given and what rules apply on exams at Chalmers. In addition to that, there is a schedule when exams are given for courses at University of Gothenburg.

Before the exam, it is important that you sign up for the examination. If you study at Chalmers, you will do this by the Chalmers Student Portal, and if you study at University of Gothenburg, you sign up via GU's Student Portal, where you also can read about what rules apply to examination at University of Gothenburg.

At the exam, you should be able to show valid identification.

After the exam has been graded, you can see your results in Ladok by logging on to your Student portal.

**At the annual (regular) examination: **

When it is practical, a separate review is arranged. The date of
the review will be announced here on the course homepage. Anyone
who can not participate in the review may thereafter retrieve and
review their exam at the
Mathematical Sciences Student office.
Check that you have the
right grades and score. Any complaints about the marking must be
submitted in writing at the office, where there is a form to fill
out.

** At re-examination: **

Exams are reviewed and retrieved at the
Mathematical Sciences Student office.
Check that you have the
right grades and score. Any complaints about the marking must be
submitted in writing at the office, where there is a form to fill
out.

## Old exams