regression

Definitions

1. A family of statistical and machine learning techniques used to model the relationship between a dependent variable and one or more independent variables, predicting continuous numerical outcomes. Linear regression fits a straight line; logistic regression predicts probabilities; polynomial and other variants capture more complex relationships.

   In plain English: A math technique that finds the best-fit line (or curve) through your data so you can predict a number — like forecasting next month's revenue from past trends.

   Example: They built a regression model predicting customer lifetime value from signup source, first-week activity, and plan tier — it explained 73% of the variance.

Related Terms

• Embedding
• A/B testing
• p-value
• correlation
• clustering
• dimensionality reduction
• Cross-Validation
• Gaussian Mixture Model