Schedule for STT 4830 - Fall 2024
Dr. Hasthika Rupasinghe
Last Updated on: Sep 02, 2024 at 10:45:52 PM
Week 1: (August 19 – 23)
Go over syllabus.
Chapter 1: Linear Regression With One Predictor Variable
- 1.1 Relation between Variables
- 1.3 Simple Linear Regression Model with Distribution of Error Terms Unspecified
- 1.4 Data for Regression Analysis
Week 2: (August 26 – August 30)
Chapter 1: Linear Regression With One Predictor Variable
- 1.5 Overview of Steps in Regression Analysis
- 1.6 Estimation of Regression Function
Week 3: (September 2 – Sep 6)
Chapter 1: Linear Regression With One Predictor Variable
- 1.7 Estimation of Error Terms Variance \(\sigma^2\)
- 1.8 Normal Error Regression Model
Chapter 5: Matrix Approach to Simple Linear Regression Analysis
- 5.1 Matrices
- 5.2 Matrix Addition and Subtraction
- 5.3 Matrix Multiplication
Quiz 1
Week 4: (Sep 9 – Sep 13)
Chapter 5: Matrix Approach to Simple Linear Regression Analysis
- 5.4 Special Types of Matrices
- 5.6 Inverse of a Matrix (In R)
- 5.9 Simple Linear Regression Model in Matrix Terms
- 5.10 Least Squares Estimation of Regression Parameters
Quiz 2
Week 5: (Sep 16 – Sep 20)
Chapter 5: Matrix Approach to Simple Linear Regression Analysis
- 5.11 Fitted Values and Residuals
Chapter 3: Diagnostics and Remedial Measures
- 3.1 Diagnostics for Predictor Variable
- 3.2 Residuals
- 3.3 Diagnostics for Residuals
Quiz 3
Week 6: (Sep 23 – Sep 27)
Chapter 3: Diagnostics and Remedial Measures
3.3 Diagnostics for Residuals
Quiz 4
Week 7: (Sep 30 – Oct 06)
Chapter 3: Diagnostics and Remedial Measures
- 3.4 Overview of Tests Involving Residuals
- 3.5 Correlation Test for Nonnality
- 3.6 Tests for Constancy of Error Variance
- 3.7 F Test for Lack of Fit
- 3.8 Overview of Remedial Measures
Test 1
Week 8: (Oct 7 – Oct 11)
Chapter 3: Diagnostics and Remedial Measures
- 3.9 Transformations
- 3.10 Exploration of Shape of Regression Function
Quiz 5
Week 9: (Oct 14 – Oct 18)
No Class Tuesday (Fall Break)
Chapter 6: Multiple Regression
6.1 Multiple Regression Models
6.2 General Linear Regression Model in Matrix Terms
6.3 Estimation of Regression Coefficients
6.4 Fitted Values and Residuals
Quiz 6
Week 10: (Oct 21 – Oct 25)
Chapter 6: Multiple Regression
- 6.5 Analysis of Variance Results
- 6.6 Inferences about Regression Parameters
- 6.7 Estimation of Mean Response and Prediction of New Observation
- 6.8 Diagnostics and Remedial Measures
Quiz 7
Week 11: (Oct 28 – Nov 01)
Chapter 9: Building the Regression Model I: Model Selection and Validation
- 9.1 Overview of Model-Building Process
- 9.2 Surgical Unit Example
- 9.3 Criteria for Model Selection
Quiz 8
Week 12: (Nov 04 –Nov 08)
Chapter 9: Building the Regression Model I: Model Selection and Validation
9.4 Automatic Search Procedures for Model Selection
9.6 Model Validation
Test 2
Week 13: (Nov 11 –Nov 15)
- 14.1 Regression Models with Binary Response Variable
- 14.2 Sigmoidal Response Functions for Binary Responses
Week 14: (Nov 18 –Nov 22)
Tuesday:
14.3 Simple Logistic Regression
14.4 Multiple Logistic Regression
14.5 Inferences about Regression Parameters
- Quiz 7
Thursday:
- No Class Thursday - state holiday
Week 15: (Nov 25 –Nov 29)
14.6 Automatic Model Selection Methods
14.7 Tests for Goodness of Fit
14.8 Logistic Regression Diagnostics
Quiz 8
Week 16: (Dec 02 –Dec 03)
- Dec 03 is Last day of class
Final Exam
- Tuesday December 10th 08:00 am to 10:30 am
Hasthika Rupasinghe
Associate Professor of Statistics
hasthika@appstate.edu
Mailing Address
Appalachian State University
Department of Mathematical Sciences
Walker Hall 324
121 Bodenheimer Dr
Boone, NC 28608