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Regression: Identify Assumptions & Apply Models

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Regression: Identify Assumptions & Apply Models

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the Quantitative Finance & Risk Modeling Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

Learn how to make your regression models trustworthy, not just accurate. In this short, hands-on course, you'll explore the key assumptions behind classical linear regression and practice verifying them in RStudio. You'll fit an Ordinary Least Squares (OLS) model, visualize residuals, and detect patterns like heteroscedasticity that can distort financial forecasts. With guided discussions, a coding lab, and diagnostic interpretation, you'll build the confidence to present reliable, evidence-based results. By the end, you'll know how to test assumptions, interpret residuals, and communicate findings clearly to both analysts and decision-makers.

Learn how to make your regression models trustworthy, not just accurate. In this short, hands-on course, you'll explore the key assumptions behind classical linear regression and practice verifying them in RStudio. You'll fit an Ordinary Least Squares (OLS) model, visualize residuals, and detect patterns like heteroscedasticity that can distort financial forecasts. With guided discussions, a coding lab, and diagnostic interpretation, you'll build the confidence to present reliable, evidence-based results. By the end, you'll know how to test assumptions, interpret residuals, and communicate findings clearly to both analysts and decision-makers.

What's included

7 videos2 readings3 assignments

7 videos•Total 32 minutes
  • Welcome: Why Regression Assumptions Matter•3 minutes
  • The Four Regression Assumptions Explained•4 minutes
  • When Assumptions Fail: Real Financial Examples•7 minutes
  • Welcome: From Assumptions to Action•4 minutes
  • Fitting an OLS Model in RStudio•6 minutes
  • Reading Residual Plots: Spotting Funnel Patterns•7 minutes
  • Congratulations and Continuous Learning Journey•1 minute
2 readings•Total 20 minutes
  • Diagnosing Before Modeling: Understanding Classical Regression Assumptions•10 minutes
  • Residuals Tell the Real Story•10 minutes
3 assignments•Total 70 minutes
  • Graded Quiz: Regression Reliability Check•20 minutes
  • Hands-on Activity: Spot the Violation in Simulated Data (RStudio)•25 minutes
  • Hands-on Activity: Verify Model Reliability with Residual Diagnostics•25 minutes

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