A major difference between correlation and regression is that regression:
Correct answer: B. Uses one variable to predict another
- A. Always produces a value between -1 and 1
- B. Uses one variable to predict another
- C. Cannot show a negative relationship
- D. Requires both variables to have equal units
Explanation
Regression models the dependence of one variable on another and can be used for prediction. Correlation measures association symmetrically, whereas regression distinguishes between the explanatory and dependent variables.
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About Correlation and Regression
Correlation describes the direction and strength of association between two variables using scatter diagrams and correlation coefficients. Regression covers fitted lines, regression equations, prediction and least squares, with a clear distinction between association and causation and between estimating a response value and reversing the roles of the variables.
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