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The coefficient of determination is the percentage of variance in one variable that

a. is accounted for by the variance in the other variable
b. matters only when the other variable is constant
c. equals the square root of the Pearson product-moment correlation coefficient
d. can be determined by taking the square root of the phi coefficient

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User Bosgood
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Final answer:

The coefficient of determination, r², represents the percentage of variation in the dependent variable that can be explained by variation in the independent variable using the regression line.

Step-by-step explanation:

The coefficient of determination, , is equal to the square of the correlation coefficient, r. When expressed as a percentage, 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.

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User Kazunori
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