Regression

How it is used

You run, fit or estimate a regression, and you 'regress' the outcome 'on' the predictors. Types include linear, multiple and logistic regression. Results are discussed through coefficients, standard errors, p-values and R-squared.

Example sentences

1. We ran a regression of monthly sales on advertising spend and price.

2. In the regression, income remained a significant predictor after controlling for education.

Common collocations

• run a regression
• regression model
• regression analysis
• regress Y on X
• regression output

Related terms

• linear regressionA regression method that models the outcome as a straight-line function of one or more predictors, estimating an intercept and one slope per predictor.
• multiple regressionA regression model with two or more predictor variables, used to estimate the effect of each one while holding the others constant.
• logistic regressionA regression method for an outcome with two categories, such as yes/no or pass/fail, that models the probability of one of the outcomes from the predictors.
• regression coefficientA number in a regression model showing how much the outcome is expected to change when a predictor increases by one unit, with the other predictors held constant.
• residualThe difference between an observed value and the value a model predicts for that observation; it shows how far the model misses each data point.

This word in other fields

The same English word can have a different meaning in another field:

• regression · Software Engineering
• regression · Data Science & Analytics
• regression · Artificial Intelligence & Machine Learning

More terms: Regression and Correlation

• correlation
• correlation coefficient
• R-squared
• least squares
• causation
• multicollinearity
• control for
• goodness of fit