Note: Due dates of the exams will not move, however the timeline of topics and smaller assignments might be updated throughout the semester.

Date Lesson Reading Slides Video Lab AE Assessment
Week 01
Thurs, Aug 27 Introduction
Navigating Canvas
Welcome to Linear Models
Navigating the website
Week 02
Tues, Sep 1 Meet the toolkit
Lab 01: Welcome to R + LaTeX!
Thurs, Sep 3 Before You Fit A Model
History of Linear Models
Matrix Form Linear Models
Least Squares (Geometric Interpretation)
Deriving the Hat Matrix
Week 03
Tues, Sep 8 Matrix Review
The hat matrix: Geometric proof
Simple equation: The intercept only model
Thur, Sep 10 Properties of Random Matrices
Law of Iterated Expectation
Gauss-Markov Theorem (Part 1)
Week 04
Tues, Sep 15 Calculating a conditional expected value
What is constant? What is random?
Calculating the variance of the least squares estimator
Gauss-Markov Theorem, Part 2
Thurs, Sep 17 Lab 02: Least Squares
Week 05
Tues, Sep 22 RSS
Goodness of Fit
Hypothesis testing
Thurs, Sep 24 Finding an Unbiased Linear Estimator [Appex 05 solution]
More on BLUE [Appex 05 solution]
More about the Hat Matrix
F-tests in R
Interpretations
Week 06
Tues, Sep 29 F-tests in R Walk through
Confidence Intervals for Regression Coefficients
Confidence Interval Application
Thurs, Oct 1 Bootstrap Confidence Intervals (Part 1)
Bootstrap Confidence Intervals (Part 2)
Bootstrap Confidence Intervals (Part 3)
Bootstrap Confidence Intervals (Part 4)
Week 07
Tues, Oct 6 Content Assessments Update
Calculating Confidence Intervals Walk Through
Bootstrap Confidence Intervals Walk Through
Putting it all together
Thurs, Oct 8 Lab 03: Multiple Linear Regression Inference
Week 08
Tues, Oct 13 More on Confidence Intervals
Confidence Interval Simulation
Thurs, Oct 15 Indicator Variables
Predictions
Confidence Intervals for Mean Response
Prediction Intervals (Part 1)
Prediction Intervals (Part 2)
Week 09
Tues, Oct 20 Expectation of Prediction
Variance of Prediction
What can go wrong with prediction?
Comparing Prediction Models
Thurs, Oct 22 The Mathematical Model to Quantify Contact Tracing Efficacy
R Package and Shiny Application Overview
Shiny Application Demo
Thinking about Schools Reopening From a Causal Perspective with Emily Oster
Week 10
Tues, Oct 27 Calculating Prediction Intervals
Calculating Prediction Intervals by Hand
Mallow's Cp Calculation
Checking Assumptions (Constant Variance)
Thurs, Oct 29 Non-constant variance examples
Checking Assumptions (Normality)
Checking Assumptions (Correlated Errors)
Checking Assumptions (Linearity)
Week 11
Tues, Nov 3 Q-Q plots and Polynomial Regression
Leverage
Outliers
Studentized Residuals
Influential Points
Thurs, Nov 5 Unusual observations walk through
Lab 04
Week 12
Tues, Nov 9 Generalized Least Squares (Part 1)
Generalized Least Squares (Part 2)
Generalized Least Squares (Part 3)
Generalized Least Squares (Part 4)
Thurs, Nov 11 Generalized Least Squares Derivation
Weighted Least Squares
Week 13
Tues, Nov 17 GLS Walk Through
Robust Regression
Thurs, Nov 19 Robust Regression Walk Through
Week 14
Tues, Nov 24 Creating Reports in RMarkdown (Part 1)
Creating Reports in RMarkdown (Part 2)
Creating Reports in RMarkdown (Part 3)
Creating Reports in RMarkdown (Part 4)
Week 15
Tues, Dec 1 Visualizing Linear Models
Thurs, Dec 3 Wrap-up