Regression Modeling in Practice

Wesleyan University

probability-and-statistics   |   Intermediate   |   14 Hours

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.

What skills will you gain?

modeling

Logistic Regression

regression diagnostics

Regression Analysis

linear regression

Estimation

Regression

Dependent And Independent Variables

Confounding

analysis