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

Outcome Variable or Criterion Variable

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.

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