|
|
|
Assignment |
|
HW |
Date |
|
1/13 | Course Overview | Review Ch 1-3, 5-6 |
boxplots t-test |
NO LAB | |||
| 1/18 - 1/20 | Simple Linear
Regression | Ch 7 | Meat Processing Example | Lab & HW 1 | 1/25 5pm | HW 1 |
| 2/1 - 2/3 | Assumptions in Simple Linear Regression | Ch 8 | ANOVA and Lack of Fit tests Transformations and Lack of Fit tests | Lab & HW 2 | 2/9 5 pm | HW 2 |
| 2/8 - 2/10 | Multiple Regression | Ch 9 | Dummy Variables and Multiple Regression | Lab & HW 3 | 2/18 5 pm | HW 3 |
| 2/15 - 2/17 | Inference in Regression | Ch 10 | Output for Extra Sum of Squares F-tests, Interpretation of Multiple Regression | Lab & HW 4 Meets 2/23 |
2/25 5 pm | HW 4 |
| 2/20 - 2/24 | Model Checking Diagnostics | Ch 11 | Case Diagnostics, Course Recap, More on F-tests, Partial Residuals (pdf) , Partial Residuals (postscript) | |||
| 2/24, 2/27 | Variable Selection | Ch 12 | Model Selection in Ex 12.21 (pdf) | |||
| 2/29 - 3/2 | Stepwise Variable Selection | Ch 12 | Lab & HW 5 | HW 5 | ||
| 3/7 - 3/9 | Midterm Exam Week | Coverage Ch 7-11 | Lab 6 | |||
| 3/10 - 3/20 | Spring Break | |||||
| 3/21 - 3/23 | Model Uncertainty |
Ch 12 | BMA(pdf) | Take Home Exam | solution | |
| 3/28 - 3/30 | Comparisons for Proportions |
Ch 18 - 19 | Models for Bernoulli and Binomial data (pdf) | Lab & HW 7 | HW 7 | |
| 4/4 - 4/6 | Logistic Regression for Binomial Counts |
Ch 20 - 21 | Lab & HW 8 | 4/12 | HW 8 | |
| 4/11 - 4/13 | Log-Linear Regression for Poisson Counts |
Ch 22 | Lab & HW 9 | HW 9 | ||
| 4/18 - 4/20 | TBA | Lab | ||||
| 4/22-4/30 | Graduate Reading Period | |||||
| 5/1-5/6 | Final Exams Week | |||||
April 19, room and time TBA | Poster Session |
Midterm Exam | 3/7 |
Take Home Exam | Available 3/21 Due 3/29 |
Group Data Analysis Poster Session | April 19 |
Final Exam | TBA |