In a correlational have a look at, the variable e that is predicted by the predictor.
variable is called the outcome variable.
In statistical modeling, the predictor variable has similarities to an independent variable and is used to predict an outcome (the criterion variable). one of the most important differences among unbiased/dependent and criterion/predictor variables is the concept of causation.
The final correlation results variable is likewise referred to as the reaction or structured variable, and the hazard factors and confounders are called the predictors, or explanatory or unbiased variables. In regression evaluation, the structured variable is denoted "Y" and the unbiased variables are denoted by using "X
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