AI engineering glossary · Statistics inference
What is regression coefficient?
Regression coefficient: A number in a regression model giving the expected change in the outcome for a one-unit increase in a predictor, holding the other predictors fixed. Its uncertainty is reported by a standard error, confidence interval and p-value.
Regression coefficient: an example
In rent = 5,000 + 40 * area, each extra square foot is associated with Rs 40 more monthly rent.
Related terms
More Statistics inference terms
- Regression to the mean
- Rejection region
- Resampling
- Sample ratio mismatch
- Sampling distribution
- Sequential testing
- Significance level
- Spearman rank correlation
Where you learn it
Regression coefficient is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.