Simple regression is a statistical technique that involves using exactly one predictor variable to predict the value of a single outcome variable.

Simple Regression

Multiple regression is a statistical technique that extends simple regression by measuring several predictor variables ($$X_1, X_2, X_3, \dots, X_i$$) and using them to predict a single outcome variable ($$Y$$). It can also be utilized to describe the complex relationship between the outcome variable and a set of predictors. The result of this analysis is an equation that expresses the outcome variable as an additive combination of all the measured predictor variables.

Multiple Regression

In regression analysis, what term is used to describe the variable that is being predicted by the model?

In regression analysis, the outcome variable—also referred to as the criterion variable—is the variable that is being predicted by the model.

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In statistical regression, the predictor variable is the variable that is used to make a prediction about another variable. It serves as the known input value from which the predicted outcome is derived.

Predictor Variable

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