Applied Linear Models Spring 2010

Course Info

Syllabus Navigator: C. Andy Tsao Office: SE A411. Campus Tel: 3520
Lecture: Tues 1110--1200, Thurs 1310--1500 @ AM Meeting Room.
Office Hours: Mons 1510-1600, Tues 1610-1700 @ SE A411 or by appointment
Class Notes: Week 1-3, Qualitative predictors, Model Building, R codes for Ridge Regression
Midterm

Date: April 22 (Thr)
Material: Chapter 1-3 (excluding 2.11), 5, 6 (except qualitative variables) and class materials such as Gauss-Markov Theorem.
You are allowed to bring an A4 cheatsheet, calculator and translator with you.

Final Exam (This will be a comprehensive exam)

Date: June 24 (Thr) 1310-1500 at SE A318.
Material: What we covered this semeseter including the student presentations. Specifically, materials for midterm, Chapter 4 (excluding 4.5-4.7), Chapter 5, 6 (including sections on qualitative variables); Chapter 7 (excluding 7.5); Chapter 8, 9, 10; For Chapter 11 only 11.2.
You are allowed to bring an A4 cheatsheet, calculator and translator with you. Good Luck!

Extra Office Hour: June 21 (Mon) 1300-1500. June 22 (Tue) 1030-1200. June 23 (Wed) 1300-1500 at SE A411.
Project: Guidelines

Assignments

Date "	Hand-in Problems	Discussion Date
0317	1.3, 1.5, 1.7, 1.9, 1.13, 1.16, 1.18, 1.19, 1.20, 1.29, 1.30, 1.32, 1.33, 1.34, 1.41; 5.5, 5.8, 5.29, 5.30, 5.31	0325
0330	2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.8, 2.14, 2.18, 2.21, 2.22, 2.31, 2.32; 3.1, 3.2, 3.3, 3.4	0408
0413	3.8, 3.18, 3.18, 3.19, 3.20; 6.1, 6.2, 6.3, 6.5, 6.9,, 6.14, 6.22, 6.24, 6.25	0420
0506	7.1, 7.4, 7.22, 7.29, 7.31; 8.4, 8.21, 8.22, 8.23, 8.24, 8.34	0513
0518	9.1, 9.3, 9.4, 9.5, 9.7, 9.8, 9.9, 9.10, 9.11, 9.20, 9.23; 10.1, 10.2, 10.3, 10.7, 10.9, 10.21;10.23, 10.24	0527

R and Softwares

R web and Downloads: (original, mirrors @ NTU, PU)
Free Editors for R: Tinn-R, Context (FREE Nice Editor for Programmers)
KNNL Example R codes

Simple Linear Regression: Toluca (EDA, lm summary, diagnosis), Toluca2 (Confidence Interval, Prediction intervals. by Yes)
Matrix calculation

Model Building: Surgical Unit Example, Insurance, BodyFat (Cateogrizing variables. data: bfpa.txt), t.test.r

KNNL Example R codes and SAS Codes (by D. Hitchcock)
R ClassRoom R notes: Data Summary; Regression Sample Output, TVAD data set, anova r code,
R samples from Yes' APLM, Experimenting with R, MASS
Document Reader: Ghostview, Acrobat Reader
Contributed Doc (From CRAN): Faraway's Practical Regression and Anova using R

Data Sets and Supplemental

Public Data Sets: Datamob, Public data on google, Research pipeline (wiki: Data Sets), Statsci.org
Example for Stat Reports: Study Comparison ..., Body dimensions
Data Sets: Forcasting computer usage, Major League Baseball Attendence, (More from JSE)
Brief History of Linear Regression

Links

Updated: 100621 by C. Andy Tsao