Schedule

Here’s your roadmap for the semester!

  • Readings should be completed before each class session
  • Assignments are due by 11:59 AM on the day they are due (i.e., before noon on the day of class)
  • Class materials (slides, in-class activities, etc.) will be added on the day of class
Simple Linear Regressions Reading Assignment Quiz Group Project Class
January 27 Context for and Use of Regression Modelling
January 29 Simple Linear Regression: Fitting Models
February 3 Simple Linear Regression: Slope Inference
February 5 Simple Linear Regression: ANOVA Table
February 7 Group Roster
February 10 Simple Linear Regression: Review and Wrap Up
February 12 No Class - Work on Take Home Exam 1
February 14 Draft of Group Topic
February 17 Take Home Exam 1: Simple Linear Regression
Multiple Linear Regressions Reading Assignment Quiz Group Project Class
February 17 MLR: Intuition and Rationale
February 19 MLR: Fitting, Interpreting, and Conducting Slope Inference for Models
February 24 MLR: Parallel Slopes and Non-Parallel Slopes, Interaction
February 26 MLR: Multicollinearity, Nested F-Test
February 28 Final Group Topic & GitHub Session
March 2 MLR: Outliers, Leverage & Influence
March 4 MLR: Bootstrap for Inference
March 9 MLR: In-Class Project
March 11 MLR: In-Class Project
March 13 OPTIONAL: Data Extract and Analysis Plan
March 16 - 27 Spring Break
Remote Learning - Content and Schedule TBD Reading Assignment Quiz Group Project Class
March 30 Intro to Transformations - logs, exponents
April 1 Odds, Odds Ratios, Probability
April 6 Logistic Regression: Intro to Logistic Regression Models
April 8 Logistic Regression: Fitting and Interpreting Models
April 13 Logistic Regression: Multiple Regression
April 15 Logistic Regression: Multiple Regression
April 20 Logistic Regression: Visualizing Coefficients and Predicted Probabilities
April 22 Logistic Regression: Log Likelihood, Ratio Tests
April 27 Logistic Regression: Review
April 29 Student Hours / Open Session
May 8 Take Home Exam 2: Logistic Regression