ANOVA vs Regression: Which Method Should You Use?
2026-05-02 • 7 min
Quick Answer
Use ANOVA when your primary predictor is categorical and you are comparing mean outcomes across groups. Use regression when predictors are continuous, mixed, or multivariable. In both methods, verify assumptions, inspect residuals, and report effect sizes for meaningful interpretation.
Model Intent Matters
ANOVA focuses on group mean differences, while regression emphasizes predictive relationships and adjusted effects across multiple variables.
Assumption Checks
Both methods require independence and variance diagnostics. Regression additionally needs linearity assessment for continuous predictors.
Unified Interpretation
ANOVA and linear regression share mathematical foundations. With coded factors, ANOVA can be represented in a regression framework.
Frequently Asked Questions
Can ANOVA include covariates?
Yes. ANCOVA extends ANOVA by adjusting group comparisons for continuous covariates.
Is regression always better than ANOVA?
Not always. Method choice should follow your research question, variable structure, and interpretability needs.