Articles - Regression Model Diagnostics

After building a linear regression model (Chapter @ref(linear-regression)), you need to make some diagnostics to detect potential problems in the data.

In this part, you will learn:

  • Linear regression assumptions and diagnostics (Chapter @ref(regression-assumptions-and-diagnostics))
  • Potential problems when computing a linear regression model, including:
    • non-linear relationship between the outcome and the predictors (Chapter @ref(polynomial-and-spline-regression))
    • Multicollinearity (Chapter @ref(multicollinearity))
    • Confounding variables (Chapter @ref(confounding-variables))

Sort by