Welcome to Math 50, Introduction to Linear Models!

Objective: You will learn to effectively implement and interpret linear regression models, such as multiple regression and ANOVA. In support of this main goal, you will learn to write scripts in R and write scientific reports.

Course Information, Grading, and Policies

COURSE MODULES

The pace will be roughly one module per week. Homework assignments will typically address two of the modules in one assignment.

Unit 1:Get to know R (R tutorial and Chapter 1)

Unit 2: Multiple Regression -- Estimation (Chapter 2)

Unit 3: Multiple Regression -- Inference (Chapter 3)

Unit 4: Multiple Regression -- Prediction (Chapter 4)

Unit 5: Multiple Regression -- Diagnostics (Chapter 6)

Unit 6: Addressing Violations -- Robust Regression (Chapter 8)

Unit 7: Categorical Predictors and Interactions (Chapter 14)

Unit 8: Analysis of Variance (Chapter 15)

Introduction to Linear Models (FA19)