The R-squared of a regression is 1 - X, where X is the:
A. sum of squared predictions divided by the total sum of squares.
B. sum of squared residuals divided by the sum of squared predictions.
C. sum of squared predictions divided by the sum of squared residuals.
D. sum of squared residuals divided by the total sum of squares.
Answer: D
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