Бакалавриат
2021/2022
Регрессионное моделирование на практике
Статус:
Курс по выбору (Фундаментальная и компьютерная лингвистика)
Направление:
45.03.03. Фундаментальная и прикладная лингвистика
Кто читает:
Школа лингвистики
Где читается:
Факультет гуманитарных наук
Когда читается:
3-й курс, 3 модуль
Формат изучения:
с онлайн-курсом
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Контактные часы:
2
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
- interprets regression coefficients
- is able to identify confounding variables
- knows how to adapt when two variables do not present a clear linear relationship
- knows the assumptions underlying regression analysis
- 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
- online course
- discussion with a HSE instructor
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