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Quantifying Relationships with Regression Models
  • Level Professional
  • Duration 12 hours
  • Course by Johns Hopkins University
  • Offered by

About

This course will introduce you to the linear regression model, which is a powerful tool that researchers can use to measure the relationship between multiple variables. We’ll begin by exploring the components of a bivariate regression model, which estimates the relationship between an independent and dependent variable. Building on this foundation, we’ll then discuss how to create and interpret a multivariate model, binary dependent variable model and interactive model. We’ll also consider how different types of variables, such as categorical and dummy variables, can be appropriately incorporated into a model. Overall, we’ll discuss some of the many different ways a regression model can be used for both descriptive and causal inference, as well as the limitations of this analytical tool. By the end of the course, you should be able to interpret and critically evaluate a multivariate regression analysis.

Modules

Welcome to the course!

    • 1 Videos
Show info about module content

1 Videos

  • Welcome Video

Correlation and Causation

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Correlation Practice Problems

1 Videos

  • Correlation

2 Readings

  • Spurious Correlations
  • Correlation in Statistics

Prediction Error

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Prediction Error Practice Problems

1 Videos

  • Prediction Error

1 Readings

  • What is a confusion matrix?

The Linear Regression Model

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Linear Regression Practice Problems

2 Videos

  • Introducing the Linear Regression Model
  • Interpreting Regression Models

1 Readings

  • Linear Regression and Correlation (Intro & Sections 12.1-12.3)

Final Assessment on Regression Models: What They Are and Why We Need Them

    • 1 Assignment
Show info about module content

1 Assignment

  • Final Quiz on Regression Models: What They Are and Why We Need Them

Model Fit

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Model Fit Practice Problems

1 Videos

  • Model Fit

2 Readings

  • Measures of Fit
  • The Regression Equation

Assumptions of Linear Regression

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Linear Regression Assumptions Practice Problems

1 Videos

  • Linear Regression Assumptions

1 Readings

  • The Least Squares Assumptions

Regression with a Binary Treatment Variable

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Regression with a Binary Treatment Variable Practice Problems

1 Videos

  • Regression with a Binary Treatment Variable

1 Readings

  • Dummy Variables

Final Assessment on Fitting and Evaluating a Bivariate Regression

    • 1 Assignment
Show info about module content

1 Assignment

  • Final Quiz on Fitting and Evaluating a Bivariate Regression

Constructing and Interpreting a Multivariate Model

    • 1 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Multivariate Model Interpretation Practice Problems

1 Videos

  • Constructing and Interpreting a Multivariate Model

2 Readings

  • Introduction to Multivariate Regression Analysis
  • Interpreting Regression Coefficients

Categorical Variables and the Dummy Variable Trap

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Categorical Variable and Dummy Sets Practice Problems

2 Videos

  • Dummy Variable Sets
  • Linear vs. Nonlinear Categorical Variables

1 Readings

  • Understanding Dummy Variable Traps in Regression

Evaluating a Multivariate Model

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Multivariate Model Fit Practice Problem

1 Videos

  • Multivariate Model Fit

1 Readings

  • Adjusted R-Squared: What is it used for?

Final Assessment on Multivariate Regression Models

    • 1 Assignment
Show info about module content

1 Assignment

  • Final Assessment on Multivariate Regression

Interaction Terms

    • 3 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Interaction Terms: Practice Problems

3 Videos

  • Interaction Terms: Introduction
  • Interacting a Continuous and Dummy Variable
  • Interacting Two Continuous or Two Dummy Variables

1 Readings

  • Interpreting Interactions in Regression

Binary Dependent Variables

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Binary Dependent Variable Practice Problems

2 Videos

  • Linear Probability Model
  • Logit and Probit Models

1 Readings

  • Regression with a Binary Dependent Variable

Final Assessment on Extensions of the Multivariate Model

    • 1 PeerReview
Show info about module content

1 Peer Review

  • Making Sense of Regression Models with Interaction Terms and Binary Dependent Variables

Auto Summary

"Quantifying Relationships with Regression Models" is a professional-level course in Big Data and Analytics, taught by Coursera. It focuses on linear regression models to measure relationships between variables, covering bivariate, multivariate, binary dependent variable, and interactive models. The course spans 720 minutes and is available through a Starter subscription, ideal for researchers and analysts looking to interpret and critically evaluate regression analyses.

Jennifer Bachner, PhD
Instructor

Jennifer Bachner, PhD