______ may be defined as a family of statistical procedures assessing the relationship between two or more predictor variables and a criterion variable.

A) Regression coefficient
B) Linear regression equation
C) Correlation matrix
D) Multiple correlation

Multiple correlation is the statistical procedure that assesses the relationship between multiple predictor variables and a criterion variable. Regression coefficient refers to the slope of the regression line in a simple linear regression. Linear regression equation is the equation that predicts the criterion variable based on one or more predictor variables. Correlation matrix is a table that displays correlation coefficients between multiple variables.