In simple linear regression, the coefficient of determination is commonly represented by:
Correct answer: B. r squared
- A. r
- B. r squared
- C. 1 minus r
- D. The standard error
Explanation
The coefficient of determination is R squared, and in simple regression it equals the square of the correlation coefficient, r squared. It represents the proportion of variation in the dependent variable explained by the regression model.
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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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