Final answer:
The coefficient of determination, r², represents the percentage of variation in the dependent variable that can be explained by the independent variable using the regression line.
Step-by-step explanation:
The coefficient of determination, r², is the square of the correlation coefficient, r. It represents the percentage of variation in the dependent variable, y, that can be explained by variation in the independent variable, x, using the regression line. To calculate r², square the value of the correlation coefficient, then interpret it as a percentage. For example, if r = 0.6631, then r² = 0.4397 or approximately 44%.