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Quantifying Relationships with Regression Models
  • Level Professional
  • المدة 12 ساعات hours
  • الطبع بواسطة Johns Hopkins University
  • Offered by

عن

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.

الوحدات

Welcome to the course!

    • 1 Videos
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1 Videos

  • Welcome Video

Correlation and Causation

    • 1 Videos
    • 2 Readings
    • 1 Assignment
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1 Assignment

  • Correlation Practice Problems

1 Videos

  • Correlation

2 Readings

  • Spurious Correlations
  • Correlation in Statistics

Prediction Error

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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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
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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
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1 Assignment

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

Model Fit

    • 1 Videos
    • 2 Readings
    • 1 Assignment
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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
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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
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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
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1 Assignment

  • Final Quiz on Fitting and Evaluating a Bivariate Regression

Constructing and Interpreting a Multivariate Model

    • 1 Videos
    • 2 Readings
    • 1 Assignment
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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
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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
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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
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1 Assignment

  • Final Assessment on Multivariate Regression

Interaction Terms

    • 3 Videos
    • 1 Readings
    • 1 Assignment
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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
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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
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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