Regression
is a statistical procedure used to predict values on a criterion variable from the knowledge of values obtained on a predictor variable. For example, an
organization may use an employment screening test or survey that has been
useful in the past to predict how well employees perform a particular type of
job. The criterion variable is a continuous
variable, meaning it can have a range of score values. Predictor variables
may be either continuous or categorical variables. When there is only one predictor
variable and one criterion variable, the procedure is known as simple regression.
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