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A) To determine the cause-and-effect relationship between two variables.
B) To measure the strength and direction of a linear relationship between two variables.
C) To predict the value of one variable based on another.
D) To identify outliers in a dataset.
B) To measure the strength and direction of a linear relationship between two variables. Correlation analysis provides a coefficient, typically ranging from -1 to 1, indicating how closely the variables move together.
B. To measure the strength and direction of a linear relationship between two variables.
B) To measure the strength and direction of a linear relationship between two variables. Correlation analysis provides a coefficient, typically ranging from -1 to 1, indicating how closely the variables move together.