______ is the use of a relationship between two or more correlated variables to predict values of one variable from values of other variables.
A) Linear regression equation
B) Regression
C) Correlation Matrix
D) Regression coefficient

Question

Quizplus · Accepted Answer

Regression is the use of a relationship between two or more correlated variables to predict values of one variable from values of other variables. Linear regression equation is a specific type of regression that uses a linear equation to predict values. Correlation matrix is a table showing the correlation coefficients between a set of variables. Regression coefficient is a value that represents the change in the dependent variable for each unit change in the independent variable.

______ Is the Use of a Relationship Between Two or More