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Old exams we will discuss next week: Dec 2012 Dec 2011, April 2011

Solutions to Dec 2012 exam

Solutions to Dec 2011 exam

No class this Friday (11/12). Instead, I will office hours January 11th and 12th, 10am-3pm, before the exam and project deadline.

Lab 3 is posted. Prediction and report due December 17th instead of this week. So no MiniAnalysis 3.
Project report is due January 14th (day of the final).
The schedule for the course can be found via the link to webTimeEdit top of the page.

Course coordinator: Rebecka Jornsten
Office Hours: Tue, 10-11, Thur 15-16 in MVH3029.

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.

Preliminary Course Outline

Week	Chapter	Topic
45	1:1-7,9, 11, 12:1-4	Basics, Simple linear model, Diagnostics, Matrix formulation
46	2,3,4,(6), 11, 12, 13.1	Multiple regression. Diagnostics and testing
47	9+notes	ANOVA,ANCOVA, Model selection
48	7,13+notes	Model selection
49	notes, 7	Bootstrap, Cross-validation
50	13+notes	Regularized regression
51	8,10,12,15	WLS, NLM, GLM In-class presentations, Old Exams

Lecture notes, Labs and MiniAnalyses

Week	Material	Labs and MiniAnalysis
45	Lecture 1 , Lecture 1 R code , The television data Demo1 , Demo 1b , The chocolate data Lecture 2 , Lecture 2 R code Lecture 3 , Lecture 3 R code	MiniAnalysis1 Due Nov 6.
46	Lecture 4 , Lecture 4 R code For those curious about Sweave, here is the Rnw-file for Lecture 4. Lecture 5 Lecture 6 , Lecture 6 R code	Lab1 Due Nov 13, Housing data. Lab report: Here's a LaTeX template but you can use any editor you want. Check the pdf-file for information about report writing.
47	Lecture 7 , Lecture 7 R code , Cars data. Lecture 8 , Lecture 8 R code Lecture 9 , Lecture 9 R code	MiniAnalysis2 Due Nov 20. The file contains code from Lecture 7, with additional commenting. The task is to analyze the Housing data from Lab 1 with this code. Which model is selected? Does it matter if you use 90 or 45 random observations to train on? Does backward model selection result in a different model that selection via prediction MSE?
48	Lecture 10 , Lecture 10 R code Lecture 11 , Lecture 11 R code Lecture 12 , Lecture 12 R code	Lab2 myCV.R cross-validation function, mySel.R model selection function, SplitSel.R Function that repeats model selection many times the Crime data Due Nov 27
49	Lecture 13 , Lecture 13 R code Lecture 14 , Lecture 14 R code Lecture 15 , Lecture 15 R code Random splits, binary data	Project proposal due Dec 1 MiniAnalysis3 , Wine data Due Dec 4
50	Lecture 16 , Lecture 16 R code Lecture 17 , Lecture 17 R code	Lab3 , PSA training data , PSA test data Due Dec 17
51

Labs and MiniAnalysis 10% (mandatory!), Project 30% and Final 60%

Written final + Final Project

I will post old exams here and we will spend the last week of classes going through them.

In Chalmers Student Portal you can read about when exams are given and what rules apply on exams at Chalmers.
At the link Scedule you can find when exams are given for courses at University of Gothenburg.
At the exam, you should be able to show valid identification.
Before the exam, it is important that you report that you want to take the examination. If you study at Chalmers, you will do this by the Chalmers Student Portal, and if you study at University of Gothenburg, so sign up via GU's Student Portal.

You can see your results in Ladok by logging on to the Student portal.

At the annual examination:
When it is practical a separate review is arranged. The date of the review will be announced here on the course website. Anyone who can not participate in the review may thereafter retrieve and review their exam on Mathematical sciences study expedition, Monday through Friday, from 9:00 to 13:00. 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 picked up at the Mathematical sciences study expedition, Monday through Friday, from 9:00 to 13:00. Any complaints about the marking must be submitted in writing at the office, where there is a form to fill out.