About this course: 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.

Created by: Wesleyan University

Taught by: Jen Rose, Research Professor
Psychology
Taught by: Lisa Dierker, Professor
Psychology

Basic Info	Course 3 of 5 in the Data Analysis and Interpretation Specialization.
Commitment	4 weeks, 4 - 5 hours per week
Language	English
How To Pass	Pass all graded assignments to complete the course.
User Ratings	4.3 stars Average User Rating 4.3See what learners said

Syllabus

WEEK 1

Introduction to Regression

This session starts where the Data Analysis Tools course left off. This first set of videos provides you with some conceptual background about the major types of data you may work with, which will increase your competence in choosing the statistical analysis t...

4 videos, 5 readings

Graded: Writing About Your Data

WEEK 2

Basics of Linear Regression

In this session, we discuss more about the importance of testing for confounding, and provide examples of situations in which a confounding variable can explain the association between an explanatory and response variable. In addition, now that you have statis...

8 videos, 9 readings

Graded: Test a Basic Linear Regression Model

WEEK 3

Multiple Regression

Multiple regression analysis is tool that allows you to expand on your research question, and conduct a more rigorous test of the association between your explanatory and response variable by adding additional quantitative and/or categorical explanatory variab...

10 videos, 2 readings

Graded: Test a Multiple Regression Model

WEEK 4

Logistic Regression

In this session, we will discuss some things that you should keep in mind as you continue to use data analysis in the future. We will also teach also you how to test a categorical explanatory variable with more than two categories in a multiple regression anal...

7 videos, 6 readings

Graded: Test a Logistic Regression Model

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Wesleyan University

At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit.

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