Regression Modeling in Practice

2019/2020

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

School of Linguistics

Course type:

Elective course

When:

2 year, 3 module

Course Syllabus

Abstract

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you. Wesleyan University: https://www.coursera.org/learn/regression-modeling-practice

Learning Objectives

• to introduce students to regression analysis
• to increase students' competence in choosing the statistical analysis that's most appropriate given the structure of their data, and in understanding the limitations of their data set

Expected Learning Outcomes

• knows how to adapt when two variables do not present a clear linear relationship
• is able to identify confounding variables
• knows the assumptions underlying regression analysis
• interprets regression coefficients
• uses regression diagnostic plots and other tools to evaluate the quality of your regression model

Course Contents

• Introduction to Regression
• Basics of Linear Regression
• Multiple Regression
• Logistic Regression

Assessment Elements

• online course
• discussion with a HSE instructor

Interim Assessment

• Interim assessment (3 module)
  0.3 * discussion with a HSE instructor + 0.7 * online course

Bibliography

Recommended Core Bibliography

• Chatterjee, S., Hadi, A. S., & Ebooks Corporation. (2012). Regression Analysis by Example (Vol. Fifth edition). Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=959808

Recommended Additional Bibliography

• Montgomery, D. C., Vining, G. G., & Peck, E. A. (2012). Introduction to Linear Regression Analysis (Vol. 5th ed). Hoboken, NJ: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1021709