Multiple regression, which is the term for the variable the researcher is most interested in explaining or predicting is criterion.
The variable in a more than one-regression analysis that the researchers are most interested in information or predicting. also called structured variable. In a longitudinal design, a correlation between an in advance measure of one variable and a later measure of another variable.
A couple of regression permits us to evaluate the correlation among a predictor and final results variable even as controlling for out the correlations that the alternative predictors may have with the final results variable. Multiple impartial variables. A multiple regression analysis also can be used to peer if the independent variables foretell the dependent variable.
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