Welcome to STA 210!
Prof. Maria Tackett
How are you feeling right now?
What is regression analysis?
"In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed."
Examples of regression anlaysis
New Yorkers Will Pay $56 A Month To Trim A Minute Off Their Commute
Effect of Forensic Evidence on Criminal Justice Case Processing
Meet your classmates!
(~ 7 minutes)
Go to a breakout room
Introduce yourself!
- Name
- Year
- What is something you're looking forward to this semester (either in this class or in general)?
I'll visit some of the breakout rooms.
The breakout rooms are not recorded.
Practice with Zoom
Practice with Zoom
- Display your name (first and last name)
Practice with Zoom
Display your name (first and last name)
Raise your hand
Practice with Zoom
Display your name (first and last name)
Raise your hand
Reactions
Practice with Zoom
Display your name (first and last name)
Raise your hand
Reactions
Chat
Practice with Zoom
Display your name (first and last name)
Raise your hand
Reactions
Chat
- Poll
Practice with Zoom
Display your name (first and last name)
Raise your hand
Reactions
Chat
Poll
Breakout rooms (not recorded)
This semester, you will learn...
How to apply methods for analyzing multivariate datasets, with an emphasis on interpretation
How to check whether a proposed statistical model is appropriate for the given data
How to address complex research questions using regression analysis
How to use R and Git to do statistical analysis in a reproducible way
The process for conducting data-driven research by applying the methods from this course to a long-term project
Where to find information
Course Website: sta210-fa20.netlify.app/
- Central hub for the course!
Sakai
- Gradebook
- Class videos
- Link to class meetings on Zoom
GitHub: https://github.com/sta210-fa20
- Assignment repos (we'll talk more about that later)
Activities and assessments
Activities and assessments
- Homework: Individual assignments combining conceptual and computational skills.
Activities and assessments
Homework: Individual assignments combining conceptual and computational skills.
Labs: Individual or team assignments focusing on computational skills.
Activities and assessments
Homework: Individual assignments combining conceptual and computational skills.
Labs: Individual or team assignments focusing on computational skills.
Quizzes: Four quizzes.
Activities and assessments
Homework: Individual assignments combining conceptual and computational skills.
Labs: Individual or team assignments focusing on computational skills.
Quizzes: Four quizzes.
Final Project: Team project presented during the final exam period.
Activities and assessments
Homework: Individual assignments combining conceptual and computational skills.
Labs: Individual or team assignments focusing on computational skills.
Quizzes: Four quizzes.
Final Project: Team project presented during the final exam period.
Application Exercises: Exercises worked on during the live lecture session.
Activities and assessments
Homework: Individual assignments combining conceptual and computational skills.
Labs: Individual or team assignments focusing on computational skills.
Quizzes: Four quizzes.
Final Project: Team project presented during the final exam period.
Application Exercises: Exercises worked on during the live lecture session.
Statistics Experiences: Engage with statistics outside of the classroom and reflect on your experience.
Where to find help in the course
Where to find help in the course
- Attend Office hours to meet with a member of the teaching team.
Where to find help in the course
Attend Office hours to meet with a member of the teaching team.
Use Piazza for general questions about course content and/or assignments, since other students may benefit from the response.
Where to find help in the course
Attend Office hours to meet with a member of the teaching team.
Use Piazza for general questions about course content and/or assignments, since other students may benefit from the response.
Use email for questions regarding personal matters and/or grades.
Lectures
Focus on concepts behind data analysis
Has two components:
- Lecture content videos to watch before we meet
- Live lecture session to ask questions and apply concepts from videos by working on exercises in small groups.
Ask questions by "raising your hand" or posting them in the chat.
I encourage you to use your video if you are comfortable.
Course community
Course community
- Uphold the Duke Community Standard:
- I will not lie, cheat, or steal in my academic endeavors;
- I will conduct myself honorably in all my endeavors; and
- I will act if the Standard is compromised.
Course community
Uphold the Duke Community Standard:
- I will not lie, cheat, or steal in my academic endeavors;
- I will conduct myself honorably in all my endeavors; and
- I will act if the Standard is compromised.
Respect, honor, and celebrate our diverse community
Course community
Uphold the Duke Community Standard:
- I will not lie, cheat, or steal in my academic endeavors;
- I will conduct myself honorably in all my endeavors; and
- I will act if the Standard is compromised.
Respect, honor, and celebrate our diverse community
Learning environment that is welcoming and accessible to everyone
Course community
Uphold the Duke Community Standard:
- I will not lie, cheat, or steal in my academic endeavors;
- I will conduct myself honorably in all my endeavors; and
- I will act if the Standard is compromised.
Respect, honor, and celebrate our diverse community
Learning environment that is welcoming and accessible to everyone
Your Turn!
Create a GitHub account
Go to https://github.com/, and create an account (unless you already have one).
After you create your account, go to https://bit.ly/sta210-github and enter your Duke email address (NETID@duke.edu) and GitHub username.
Some tips from Happy Git with R.
- Incorporate your actual name!
- Reuse your username from other contexts if you can, e. g., Twitter or Slack.
- Pick a username you will be comfortable revealing to your future boss.
- Be as unique as possible in as few characters as possible. Shorter is better than longer.
- Make it timeless.
- Avoid words with special meaning in programming (e.g.
NA).
Let's look at an analysis!
Read through the Movie Data Analysis
Talk about the questions under the "Discussion" section in your breakout rooms.
We'll choose a few rooms to share their conclusions.