Lecture-12: OLS Regression (Part 1)
Topics
- Inferential Statistics: Regression Theory and Bivarite Regression
- Data Analysis: Bivariate Regression in
R - Quantitative Research: Regression Equations in LaTeX
Readings
Required
- OpenIntro: Chapter 7, pp. 340-355
- Wheelan: Chapter 11
Assignments
Due Before Class
- From Prior Lecture:
- Lab 10 - Pearson’s \(r\) in
R - Problem Set 05 - Correlations and Scatterplots
- Lab 10 - Pearson’s \(r\) in
- From Final Project: Peer reviews due to group members as a GitHub issue in each student’s final project repository
- For This Lecture: Lecture Prep 11 - The Regression Equation in LaTeX
Due Before Class, SOC 5050 only
- From Final Project: Draft paper due
Due Before Next Class
- For This Lecture:
- Lab 11 - Bivariate Regression in
R - Problem Set 06 - Bivariate Regression in
R
- Lab 11 - Bivariate Regression in
- For Next Lecture: Lecture Prep 12 - Citations with
knitrand LaTeX