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Regression for Analysts

Reading coefficients, controlling for confounders, and checking whether a regression can be trusted.

Level
Intermediate
Lessons
3
Total time
49 min
Simulations
4
Included in Data Analytics: Statistics & Data Visualization · $9
Tools you'll use
  • Python
  • pandas
  • NumPy
Skills
  • Linear regression
  • Confounders
  • Residual diagnostics
Try it now — free

This is the real simulation from the module. No account needed.

What you will be able to do

  • Interpret multiple regression coefficients
  • Read a residual plot

Before you start

A suggestion, never a lock — you can start here.

  • correlation
Modules that help first

Syllabus

3 lessons · 49 min

Every lesson's title and summary is public. The lessons themselves open once you own the track.

Every lesson in Data Analytics: Statistics & Data Visualization
  1. Simple Linear Regression

    16 min

    Slope, intercept and R² — and what R² does not tell you.

    Included with the track Simulation
  2. Multiple Regression and Confounders

    17 min

    Why a coefficient changes when another variable is added — and when that change fixes the answer, and when it breaks it.

    Included with the track Simulation
  3. Regression Diagnostics

    16 min

    Residuals, heteroscedasticity and overly influential points — four checks that decide whether that tidy coefficient table can be trusted.

    Included with the track Simulation
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