The coefficient of determination,or R-squared,is defined as: A) 1 - $\Sigma$ (Y_i + Y_estimated)² / $\Sigma$ (Y_i + Y_mean)². B) 1 - $\Sigma$ (Y_i - Y_estimated)² / $\Sigma$ (Y_i - Y_mean)². C) $\Sigma$ (Y_i + Y_estimated)² / $\Sigma$ (Y_i + Y_mean)². D) 1 - $\Sigma$ (Y_i - Y_estimated) / $\Sigma$(Y_i - Y_mean). E) 1 - [$\Sigma$ (Y_i - Y_estimated) / $\Sigma$(Y_i - Y_mean)]².

Question

Quizplus · Accepted Answer

The formula for coefficient of determination, or R-squared, is 1 minus the ratio of the sum of squared errors for the model (difference between actual and estimated values) and the sum of squared errors for the mean (difference between actual and mean values). Choice B contains this formula with the correct signs and terms.

The Coefficient of Determination,or R-Squared,is Defined As: A) 1 - Σ\SigmaΣ

The Coefficient of Determination,or R-Squared,is Defined As:
A) 1 - $\Sigma$